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1.
Ha Ryong Song Moon Gu Jeon Tae Sun Choi Vladimir Shin 《International Journal of Control, Automation and Systems》2009,7(4):651-658
New fusion predictors for linear dynamic systems with different types of observations are proposed. The fusion predictors
are formed by summation of the local Kalman filters/predictors with matrix weights depending only on time instants. The relationship
between fusion predictors is established. Then, the accuracy and computational efficiency of the fusion predictors are demonstrated
on the first-order Markov process and the GMTI model with multisensor environment.
Recommended by Editorial Board member Lucy Y. Pao under the direction of Editor Young Il Lee. This work was partially supported
by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MOST), No. R01-2007-000-20227-0
and the Center for Distributed Sensor Network at GIST.
Ha-Ryong Song received the B.S. degree in Control and Instrumentation Engineering from the Chosun University, Korea, in 2006, the M.S.
degree in School of Information and Mechatronics from the Gwangju Institute of Science and Technology, Korea, in 2007. He
is currently a Ph.D. candidate in Gwangju Institute of Science and Technology. His research interests include estimation,
target tracking systems, data fusion, nonlinear filtering.
Moon-Gu Jeon received the B.S. degree in architectural engineering from the Korea University, Korea in 1988. He then received both the
M.S. and Ph.D. degrees in computer science and scientific computation from the University of Minnesota in 1999 and 2001, respectively.
Currently, he is an Associate Professor at the School of Information and Mechatronics of the Gwangju Institute of Science
and Technology (GIST). His current research interests are in machine learning and pattern recognition and evolutionary computation.
Tae-Sun Choi received the B.S. degree in Electrical Engineering from the Seoul National University, Seoul, Korea, in 1976, the M.S. degree
in Electrical Engineering from the Korea Advanced Institute of Science and Technology, Seoul, Korea, in 1979, and the Ph.D.
degree in Electrical Engineering from the State University of New York at Stony Brook, in 1993. He is currently a Professor
in the School of Information and Mechatronics at Gwangju Institute of Science and Technology, Korea. His research interests
include image processing, machine/robot vision, and visual communications.
Vladimir Shin received the B.Sc. and M.Sc. degrees in Applied Mathematics from Moscow State Aviation Institute, in 1977 and 1979, respectively.
In 1985 he received the Ph.D. degree in Mathematics at the Institute of Control Science, Russian Academy of Sciences, Moscow.
He is currently an Associate Professor at Gwangju Institute of Science and Technology, South Korea. His research interests
include estimation, filtering, tracking, data fusion, stochastic control, identification, and other multidimensional data
processing methods. 相似文献
2.
Tri Cong Phung Seung Hwa Ha Yong Seok Ihn Byung June Choi Sang Moo Lee Ja Choon Koo Hyouk Ryeol Choi 《International Journal of Control, Automation and Systems》2009,7(3):459-467
In micro-manipulations, force sensing devices play an important role in the control and the assembly of micro-objects. To
protect these micro-objects from damage, we must have the ability to detect the value of the minute amount of interactive
force (about a few μN) upon contact between the tip and the object. To detect this micro-force, we need an optimized design
of force sensor to increase the strain values at the positions we place sensing components. Stress concentration can effectively
amplify the strain values measured by the force sensors. This paper investigates the effect that the notches have on increasing
the strain values at the positions we attach the sensing elements. In addition, the optimal design with a flexible structure
improves the sensitivity of the sensor. An algorithm that can calculate both contact force and contact position on the sensor
tip is also mentioned. Besides, an optimal location of strain gauges will ensure the accuracy and stability of the measurement.
Finally, analysis and experiment are done to verify the proposed idea.
Recommended by Editorial Board member Dong Hwan Kim under the direction of Editor Jae-Bok Song. This research was supported
by the Ministry of Knowledge Economy and Korean Industrial Technology Foundation through the Human Resource Training Project
for Strategic Technology.
Tri Cong Phung received the B.S. degree in Mechanical Engineering from the HCM University of Technology, Vietnam in 2004 and the M.S. degree
in Mechanical Engineering from Sungkyunkwan University in 2007. He is currently working toward a Ph.D. degree in Intelligent
Robotics and Mechatronic System Laboratory (IRMS Lab), Mechanical Engineering from Sungkyunkwan University. His research interests
include dexterous manipulation and touch sensors.
Seung Hwa Ha received the B.S. degree in Korean University of Technology and Education, Korea in 2004. He received the M.S. degree in
Mechanical Engineering from Sungkyunkwan University in 2008. He is currently working in Samsung Electronic Co. Ltd. His research
interests are about strain gauge and high precision control.
Yong Seok Ihn received the B.S. degree in School of Mechanical Engineering from the Sungkyunkwan University, Korea in 2006. He received
the M.S. degree in Mechanical Engineering from the Sungkyunkwan University, in 2008. He is currently working toward a Ph.
D. degree in the Computer Aided Modeling & Simulation Laboratory (CAMAS Lab), School of Mechanical Engineering at the Sungkyunkwan
University in Korea. His research interests are precision mechatronics, dynamic system modeling, and control.
Byung June Choi received the B.S. degree in School of Mechanical Engineering from the Sungkyunkwan University, Korea in 2002. He received
the M.S. degree in Mechanical Engineer-ing from the Sungkyunkwan University, in 2005. He is currently working toward a Ph.D.
degree in the Intelligent Robotics and Mechatronic System Laboratory (IRMS Lab), School of Mechanical Engineering at the Sungkyunkwan
University in Korea. His research interests are mechanisms design, multi-robot system control, cooperation, path planning
and task allocation algorithm.
Sang Moo Lee was born in Seoul, Korea and educated in Seoul. He received the Ph.D. degree from the Seoul National University in Korea,
in 1999. He is currently a Principal Researcher of Division for Applied Robot Technology at Korean Institute of Industrial
Technology. His research interests include high-precision robot control, motion field network, and location system in outdoor
environment for robots.
Ja Choon Koo is an Associate Professor of School of Mechanical Engineering in Sungkyunkwan University in Korea. His major researches are
in the field of design, analysis, and control of dynamics systems, especially micro precision mechatronic systems and energy
transducers. He was an Advisory Engineer for IBM, San Jose, California, USA and a Staff Engineer for SISA, San Jose, CA, USA.
He received the Ph.D. and M.S. degrees from the University of Texas at Austin and the B.S. from Hanyang University, Seoul,
Korea.
Hyouk Ryeol Choi received the B.S. degree from Seoul National University, Seoul, Korea, in 1984, the M.S. degree from Korea Advanced Institute
of Science and Technology (KAIST), Daejon, Korea, in 1986, and the Ph.D. degree from Pohang University of Science and Technology
(POSTECH), Pohang, Korea, in 1994, all in Mechanical Engineering. From 1986 to 1989, he was an Associate Engineer at LG Electronics
Central Research Laboratory, Seoul. From 1993 to 1995, he was at Kyoto University, Kyoto, Japan, as a Grantee of scholarship
from the Japanese Educational Ministry. From 2000 to 2001, he visited Advanced Institute of Industrial Science Technology
(AIST), Tsukuba, Japan, as a Japan Society for the Promotion of Sciences (JSPS) Fellow. Since 1995, he has been with Sungkyunkwan
University, Suwon, Korea, where he is currently a Professor in the School of Mechanical Engineering. He is an Associate Editor
of the Journal of Intelligent Service Robotics and International Journal of Control, Automation and Systems (IJCAS), and IEEE
Transactions on Robotics. His current research interests include dexterous mechanism, field application of robots, and artificial
muscle actuators. 相似文献
3.
Hyoun-Chul Choi Dongkyoung Chwa Suk-Kyo Hong 《International Journal of Control, Automation and Systems》2009,7(3):487-494
This paper proposes a method for robust reduced-order H
∞ filter design for polytopic uncertain systems, using linear matrix inequalities (LMIs). Sufficient LMI conditions for both
robust full- and reduced-order H
∞ filter design are derived. Convex optimization problems are formulated and solved to obtain optimal H
∞ filters by using the resulting LMI conditions. The resulting conditions do not involve any non-convex rank constraints, and
thus the proposed method for H
∞ filter design guarantees global optimum solutions. Numerical examples are presented to show the effectiveness of the proposed
method.
Recommended by Editorial Board member Huanshui Zhang under the direction of Editor Young Il Lee. This work was supported by
the Brain Korea 21 Project and the Basic Research Program of the Korea Science and Engineering Foundation under grant R01-2006-000-11373-0.
Hyoun-Chul Choi received the B.S., M.S., and Ph.D. degrees in Control and Instrumentation Engineering from Ajou University, Suwon, Korea,
in 1995, 1997, and 2006, respectively. He was a Visiting Researcher at Griffith University, Brisbane, Australia, from 2001
to 2002, and a Postdoctoral researcher at Ajou University, Suwon, Korea, from 2006 to 2007. Since 2008, he has been with ASRI,
School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea, where he is currently a Postdoctoral
Researcher. His research interests include LMI-based control, optimal and robust control, network-based control, and mechatronics.
Dongkyoung Chwa received the B.S. and M.S. degrees from the Department of Control and Instrumentation Engineering in 1995 and 1997, respectively,
and the Ph.D. degree from the School of Electrical and Computer Engineering in 2001, all from Seoul National University, Seoul,
Korea. From 2001 to 2003, he was a Postdoctoral Researcher with Seoul National University. In 2003, he was a Visiting Research
Fellow at The University of New South Wales, Australian Defence Force Academy, and was the Honorary Visiting Academic at the
University of Melbourne, Melbourne, Australia. In 2004, he was a BK21 Assistant Professor with Seoul National University.
Since 2005, he has been an Assistant Professor with the Department of Electrical and Computer Engineering, Ajou University,
Suwon, Korea. His research interests are nonlinear, robust, and adaptive control theories and their applications to the robotics,
underactuated systems including wheeled mobile robots, underactuated ships, cranes, and guidance and control of flight systems.
Suk-Kyo Hong received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Seoul National University, Seoul, Korea, in 1971,
1973, and 1981, respectively. His major graduate research works were centered on speed control of induction motors. He was
an Exchange Professor at Rensselaer Polytechnic Institute, Troy, NY, from 1982 to 1983, and at the Institut National de Recherche
en Informatique et en Automatique, France, from 1988 to 1989. He has been with the faculty of the Department of Electrical
and Computer Engineering, Ajou University, Suwon, Korea, since 1976, and was a Visiting Professor at Griffith University,
Australia, in 2001 and 2002. His current research interests include robust robot control, microprocessor applications, factory
automation, and computer integrated manufacturing. 相似文献
4.
Daewon Lee H. Jin Kim Shankar Sastry 《International Journal of Control, Automation and Systems》2009,7(3):419-428
This paper presents two types of nonlinear controllers for an autonomous quadrotor helicopter. One type, a feedback linearization
controller involves high-order derivative terms and turns out to be quite sensitive to sensor noise as well as modeling uncertainty.
The second type involves a new approach to an adaptive sliding mode controller using input augmentation in order to account
for the underactuated property of the helicopter, sensor noise, and uncertainty without using control inputs of large magnitude.
The sliding mode controller performs very well under noisy conditions, and adaptation can effectively estimate uncertainty
such as ground effects.
Recommended by Editorial Board member Hyo-Choong Bang under the direction of Editor Hyun Seok Yang. This work was supported
by the Korea Research Foundation Grant (MOEHRD) KRF-2005-204-D00002, the Korea Science and Engineering Foundation(KOSEF) grant
funded by the Korea government(MOST) R0A-2007-000-10017-0 and Engineering Research Institute at Seoul National University.
Daewon Lee received the B.S. degree in Mechanical and Aerospace Engineering from Seoul National University (SNU), Seoul, Korea, in 2005,
where he is currently working toward a Ph.D. degree in Mechanical and Aerospace Engineering. He has been a member of the UAV
research team at SNU since 2005. His research interests include applications of nonlinear control and vision-based control
of UAV.
H. Jin Kim received the B.S. degree from Korea Advanced Institute of Technology (KAIST) in 1995, and the M.S. and Ph.D. degrees in Mechanical
Engineering from University of California, Berkeley in 1999 and 2001, respectively. From 2002–2004, she was a Postdoctoral
Researcher and Lecturer in Electrical Engineering and Computer Science (EECS), University of California, Berkeley (UC Berkeley).
From 2004–2009, she was an Assistant Professor in the School of in Mechanical and Aerospace Engineering at Seoul National
University (SNU), Seoul, Korea, where she is currently an Associate Professor. Her research interests include applications
of nonlinear control theory and artificial intelligence for robotics, motion planning algorithms.
Shankar Sastry received the B.Tech. degree from the Indian Institute of Technology, Bombay, in 1977, and the M.S. degree in EECS, the M.A.
degree in mathematics, and the Ph.D. degree in EECS from UC Berkeley, in 1979, 1980, and 1981, respectively. He is currently
Dean of the College of Engineering at UC Berkeley. He was formerly the Director of the Center for Information Technology Research
in the Interest of Society (CITRIS). He served as Chair of the EECS Department from January, 2001 through June 2004. In 2000,
he served as Director of the Information Technology Office at DARPA. From 1996 to 1999, he was the Director of the Electronics
Research Laboratory at Berkeley (an organized research unit on the Berkeley campus conducting research in computer sciences
and all aspects of electrical engineering). He is the NEC Distinguished Professor of Electrical Engineering and Computer Sciences
and holds faculty appointments in the Departments of Bioengineering, EECS and Mechanical Engineering. Prior to joining the
EECS faculty in 1983 he was a Professor with the Massachusetts Institute of Technology (MIT), Cambridge. He is a member of
the National Academy of Engineering and Fellow of the IEEE. 相似文献
5.
Ig Mo Koo Tae Hun Kang Gia Loc Vo Tran Duc Trong Young Kuk Song Hyouk Ryeol Choi 《International Journal of Control, Automation and Systems》2009,7(4):577-584
In this paper, we present a control method for a quadruped walking robot inspired from the locomotion of quadrupeds. A simple
and useful framework for controlling a quadruped walking robot is presented, which is obtained by observing the stimulus-reaction
mechanism, the gravity load receptor and the manner of generating repetitive motions from quadrupeds. In addition, we propose
a new rhythmic pattern generator that can relieve the large computational burden on solving the kinematics. The proposed method
is tested via a dynamic simulation and validated by implementation in a quadruped walking robot, called AiDIN-I (Artificial
Digitigrade for Natural Environment I).
Recommended by Editorial Board member Sangdeok Park under the direction of Editor Jae-Bok Song. This work was supported by
the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2005-D00031).
Ig Mo Koo received the B.S. degree in Mechanical Engineering from Myongji University, Yongin, Korea, in 2003, the M.S. degree in Mechanical
Engineering from the Sungkyunkwan University, Suwon, Korea, in 2005, where he is currently working toward a Ph.D. degree in
Mechanical Engineering from Sungkyunkwan University. His research interests include artificial muscle actuators, haptics,
tactile display, biomimetics and quadruped walking robots systems.
Tae Hun Kang received the B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Sungkyunkwan University, Korea, in 2000, 2002,
and 2006, respectively. His current research interests focus on biomimetics and quadruped walking robot.
Gia Loc Vo received the B.S degree in Mechanical Engineering form Ha Noi University of Technology in Vietnam 2003, the M.S. degree Mechanical
Engineering form Sungkyunkwan University, Suwon, Korea, in 2006, where he is currently working toward a Ph.D. degree in Mechanical
Engineering from Sungkyunkwan University. His research interests include legged locomotion, walking and climbing robot.
Tran Duc Trong received the B.S degree in Mechatronics from HoChiMinh City University of Technology in Vietnam in 2005, where he is currently
working toward a M.S. degree in Mechanical Engineering from Sungkyunkwan University. His research interests include biological
inspired control and adaptive control of quadruped walking robot.
Young Kuk Song received the B.S. degree in Mechanical Engineering from Sungkyunkwan University, Suwon, Korea, in 2006, where he is currently
working toward a M.S. degree in Mechanical Engineering from Sungkyunkwan University. His research interests include biomimetics,
hydraulic robotics system and quadruped walking robot.
Hyouk Ryeol Choi received the B.S. degree from Seoul National University, Seoul, Korea, in 1984, the M.S. degree from the Korea Advanced Technology
of Science and Technology (KAIST), Daejeon, Korea, in 1986, and the Ph.D. degree from the Pohang University of Science and
Technology (POSTECH), Pohang, Korea, in 1994. Since 1995, he has been with Sungkyunkwan University, Suwon, Korea, where he
is currently a Professor in the School of Mechanical Engineering. He was an Associate Engineer with LG Electronics Central
Research Laboratory, Seoul, Korea, from 1986 to 1989. From 1993 to 1995, he was with Kyoto University, Kyoto, Japan, as a
grantee of scholarship funds from the Japanese Educational Administry. He visited the Advanced Institute of Industrial Science
Technology (AIST), Tsukuba, Japan, as a JSPS Fellow from 1999 to 2000. He is now an Associate Editor in IEEE Transactions
on Robotics, Journal of Intelligent Service Robotics, International Journal of Control, Automation and Systems (IJCAS). His
interests includes dexterous mechanisms, field application of robots, and artificial muscle actua tors. 相似文献
6.
Shan-Ying Li Sang-Seung Lee Yong Tae Yoon Jong-Keun Park 《International Journal of Control, Automation and Systems》2009,7(3):389-397
This paper presents a decentralized adaptive backstepping controller to dampen oscillations and improve the transient stability
to parametric uncertainties in multimachine power systems. The proposed design on the i
th
synchronous generator uses only local information and operates without the need for remote signals from the other generators.
The design of the nonlinear controller is based on a modified fourth-order nonlinear model of a synchronous generator, and
the automatic voltage regulator model is considered so as to decrease the steady state voltage error. The construction of
both the control law and the associated Lyapunov function is systematically designed within the design methodology. A 3-machine
power system is used to demonstrate the effectiveness of the proposed controller over two other controllers, namely a conventional
damping controller (power system stabilizer) and one designed using the feedback linearization techniques.
Recommended by Editorial Board member Gang Tao under the direction of Editor Jae Weon Choi. This work was supported by the
Korea Electrical Engineering and Science Research Institute, which is funded by Ministry of Commerce, Industry and Energy.
Shan-Ying Li received the B.S. degrees in Computer Science and M.S. degree in Electrical Engineering from Northeast DianLi University,
China, in 1997 and 2002, respectively. She obtained the Ph.D. degree in Electrical Engineering from Seoul National University,
Korea, in 2008. She is a Post Doctor in North China Electric Power Research Institute, North China Grid Co., Ltd., China.
Her research interests are in the areas of advanced control and stability applications on power systems.
Sang-Seung Lee received the M.S.E.E. and Ph.D. degrees in Electrical Engineering at Seoul National University. Currently, he is with Power
System Research Division of KESRI, Seoul National University, Korea. His interest areas are nonlinear/adaptive control theory,
North-East Asia power system interconnection, distributed/small generation, distributed transmission/distribution load flow
algorithm, regional/local energy system, PSS (power system stabilizer), and RCM (Reliability Centered Maintenance).
Yong Tae Yoon was born in Korea on April 20, 1971. He received the B.S. degree, M.Eng. and Ph.D. degrees from M.I.T., USA in 1995, 1997,
and 2001, respectively. Currently, he is an Assistant Professor in the School of Electrical Engineering and Computer Science
at Seoul National University, Korea. His special field of interest includes electric power network economics, power system
reliability, and the incentive regulation of independent transmission companies.
Jong-Keun Park received the B.S. degree in Electrical Engineering from Seoul National University, Seoul, Korea in 1973 and the M.S. and
Ph.D. degrees in Electrical Engineering from The University of Tokyo, Japan in 1979 and 1982, respectively. He is currently
a Professor of School of Electrical Engineering, Seoul National University. In 1992, he attended as a Visiting Professor at
Technology and Policy Program and Laboratory for Electromagnetic and Electronic Systems, Massachusetts Institute of Technology.
He is a Senior Member of the IEEE, a Fellow of the IEE, and a Member of Japan Institute of Electrical Engineers (JIEE). 相似文献
7.
Jeong-Jung Kim Jun-Woo Lee Ju-Jang Lee 《International Journal of Control, Automation and Systems》2009,7(3):447-457
A parameter search for a Central Pattern Generator (CPG) for biped walking is difficult because there is no methodology to
set the parameters and the search space is broad. These characteristics of the parameter search result in numerous fitness
evaluations. In this paper, nonparametric estimation based Particle Swarm Optimization (NEPSO) is suggested to effectively
search the parameters of CPG. The NEPSO uses a concept experience repository to store a previous position and the fitness
of particles in a PSO and estimated best position to accelerate a convergence speed. The proposed method is compared with
PSO variants in numerical experiments and is tested in a three dimensional dynamic simulator for bipedal walking. The NEPSO
effectively finds CPG parameters that produce a gait of a biped robot. Moreover, NEPSO has a fast convergence property which
reduces the evaluation of fitness in a real environment.
Recommended by Editorial Board member Euntai Kim under the direction of Editor Jae-Bok Song.
Jeong-Jung Kim received the B.S. degree in Electronics and Information Engineering from Chonbuk National University in 2006 and the M.S.
degree in Robotics from Korea Advanced Institute of Science and Technology in 2008. He is currently working toward a Ph.D.
at the Korea Advanced Institute of Science and Technology. His research interests include biologically inspired robotics and
machine learning.
Jun-Woo Lee received the B.S. degree in Electronics, Electrical and Communication Engineering from Pusan National University in 2007.
He is currently working toward an M.S. in the Korea Advanced Institute of Science and Technology. His research interests include
swarm intelligence and machine learning.
Ju-Jang Lee was born in Seoul, Korea, in 1948. He received the B.S. and M.S. degrees from Seoul National University, Seoul, Korea, in
1973 and 1977, respectively, and the Ph.D. degree in Electrical Engineering from the University of Wisconsin, in 1984. From
1977 to 1978, he was a Research Engineer at the Korean Electric Research and Testing Institute, Seoul. From 1978 to 1979,
he was a Design and Processing Engineer at G. T. E. Automatic Electric Company, Waukesha, WI. For a brief period in 1983,
he was the Project Engineer for the Research and Development Department of the Wisconsin Electric Power Company, Milwaukee.
He joined the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, in 1984,
where he is currently a Professor. In 1987, he was a Visiting Professor at the Robotics Laboratory of the Imperial College
Science and Technology, London, U.K. From 1991 to 1992, he was a Visiting Scientist at the Robotics Department of Carnegie
Mellon University, Pittsburgh, PA. His research interests are in the areas of intelligent control of mobile robots, service
robotics for the disabled, space robotics, evolutionary computation, variable structure control, chaotic control systems,
electronic control units for automobiles, and power system stabilizers. Dr. Lee is a member of the IEEE Robotics and Automation
Society, the IEEE Evolutionary Computation Society, the IEEE Industrial Electronics Society, IEEK, KITE, and KISS. He is also
a former President of ICROS in Korea and a Counselor of SICE in Japan. He is a Fellow of SICE and ICROS. He is an Associate
Editor of IEEE Transactions on Industrial Electronics and IEEE Transactions on Industrial Informatics. 相似文献
8.
Oscillation amplitude-controlled resonant accelerometer design using a reference tracking automatic gain control 总被引:1,自引:0,他引:1
Sangkyung Sung Chang Joo Kim Jungkeun Park Young Jae Lee Joon Goo Park 《International Journal of Control, Automation and Systems》2009,7(2):203-210
In this paper, it is presented a novel approach for the self-sustained resonant accelerometer design, which takes advantages
of an automatic gain control in achieving stabilized oscillation dynamics. Through the proposed system modeling and loop transformation,
the feedback controller is designed to maintain uniform oscillation amplitude under dynamic input accelerations. The fabrication
process for the mechanical structure is illustrated in brief. Computer simulation and experimental results show the feasibility
of the proposed accelerometer design, which is applicable to a control grade inertial sense system.
Recommended by Editorial Board member Dong Hwan Kim under the direction of Editor Hyun Seok Yang. This work was supported
by the BK21 Project ST·IT Fusion Engineering program in Konkuk University, 2008. This work was supported by the Korea Foundation
for International Cooperation of Science & Technology(KICOS) through a grant provided by the Korean Ministry of Education,
Science & Technology(MEST) in 2008 (No. K20601000001). Authors also thank to Dr. B.-L. Lee for the help in structure manufacturing.
Sangkyung Sung is an Assistant Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the M.S and
Ph.D. degrees in Electrical Engineering from Seoul National University in 1998 and 2003, respectively. His research interests
include inertial sensors, avionic system hardware, navigation filter, and intelligent vehicle systems.
Chang-Joo Kim is an Assistant Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the Ph.D. degree
in Aeronautical Engineering from Seoul National University in 1991. His research interests include nonlinear optimal control,
helicopter flight mechanics, and helicopter system design.
Young Jae Lee is a Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the Ph.D. degree in Aerospace
Engineering from the University of Texas at Austin in 1990. His research interests include integrity monitoring of GNSS signal,
GBAS, RTK, attitude determination, orbit determination, and GNSS related engineering problems.
Jungkeun Park is an Assistant Professor of the Department of Aerospace Engineering at Konkuk University. Dr. Park received the Ph.D. in
Electrical Engineering and Computer Science from the Seoul National University in 2004. His current research interests include
embedded real-time systems design, real-time operating systems, distributed embedded real-time systems and multimedia systems.
Joon Goo Park is an Assistant Professor of the Department of Electronic Engineering at Gyung Book National University, Korea. He received
the Ph.D. degree in School of Electrical Engineering from Seoul National University in 2001. His research interests include
mobile navigation and adaptive control. 相似文献
9.
Zhan Yu Mi Young Nam Suman Sedai Phill Kyu Rhee 《International Journal of Control, Automation and Systems》2009,7(1):33-40
In this paper an evolutionary classifier fusion method inspired by biological evolution is presented to optimize the performance
of a face recognition system. Initially, different illumination environments are modeled as multiple contexts using unsupervised
learning and then the optimized classifier ensemble is searched for each context using a Genetic Algorithm (GA). For each
context, multiple optimized classifiers are searched; each of which are referred to as a context based classifier. An evolutionary
framework comprised of a combination of these classifiers is then applied to optimize face recognition as a whole. Evolutionary
classifier fusion is compared with the simple adaptive system. Experiments are carried out using the Inha database and FERET
database. Experimental results show that the proposed evolutionary classifier fusion method gives superior performance over
other methods without using evolutionary fusion.
Recommended by Guest Editor Daniel Howard. This work was supported by INHA UNIVERSITY Research Grant.
Zhan Yu received the B.E. degree in Software Engineering from Xiamen University, China, in 2008. He is currently a master student
in Intelligent Technology Lab, Computer and Information Department, Inha University, Korea. He has research interests in image
processing, pattern recognition, computer vision, machine learning and statistical inference and computating.
Mi Young Nam received the B.Sc. and M.Sc. degrees in Computer Science from the University of Silla Busan, Korea in 1995 and 2001 respectively
and the Ph.D. degree in Computer Science & Engineering from the University of Inha, Korea in 2006. Currently, She is Post-Doctor
course in Intelligent Technology Laboratory, Inha University, Korea. She’s research interest includes biometrics, pattern
recognition, computer vision, image processing.
Suman Sedai received the M.S. degree in Software Engineering from Inha University, China, in 2008. He is currently a Doctoral course
in Western Australia University, Australia. He has research interests in image processing, pattern recognition, computer vision,
machine learning.
Phill Kyu Rhee received the B.S. degree in Electrical Engineering from the Seoul University, Seoul, Korea, the M.S. degree in Computer Science
from the East Texas State University, Commerce, TX, and the Ph.D. degree in Computer Science from the University of Louisiana,
Lafayette, LA, in 1982, 1986, and 1990 respectively. During 1982–1985 he was working in the System Engineering Research Institute,
Seoul, Korea as a research scientist. In 1991 he joined the Electronic and Telecommunication Research Institute, Seoul, Korea,
as a Senior Research Staff. Since 1992, he has been an Associate Professor in the Department of Computer Science and Engineering
of the Inha University, Incheon, Korea and since 2001, he is a Professor in the same department and university. His current
research interests are pattern recognition, machine intelligence, and parallel computer architecture. dr. rhee is a Member
of the IEEE Computer Society and KISS (Korea Information Science Society). 相似文献
10.
Quang Sang Nguyen Seok Heo Hoon Cheol Park Nam Seo Goo Taesam Kang Kwang Joon Yoon Seung Sik Lee 《International Journal of Control, Automation and Systems》2009,7(2):267-272
In this paper, we have introduced a prototype of a fish robot driven by unimorph piezoceramic actuators. To improve the swimming
performance of the fish robot in terms of tail-beat angle, swimming speed, and thrust force, we used four light-weight piezo-composite
actuators (LIPCAs) instead of the two LIPCAs used in the previous model. We also developed a new actuation mechanism consisting
of links and gears. Performance tests of the fish robot were conducted in water at various tail-beat frequencies to measure
the tail-beat angle, swimming speed, and thrust force. The tail-beat angle was significantly better than that of the previous
model. The best tail-beat frequency of the fish robot was 1.4 Hz and the maximum thrust force was 0.0048 N. A miniaturized
power supply, which was developed to excite the LIPCAs, was installed inside the fish robot body for free swimming. The maximum
free-swimming speed was 3.2 cm/s.
Recommended by Editorial Board member Hyoukryeol Choi under the direction of Editor Jae-Bok Song. This work was supported
by the Korea Research Foundation under grant KRF-2004-005-D00045.
Quang Sang Nguyen received the BS (2001) and MS (2006) from Hochiminh City University of Technology, Vietnam. Formerly an assistant lecturer
of Naval Architect and Marine Engineering, Hochiminh City University of Technology, Vietnam (2001-2006), he is currently a
Ph.D. student at the Department of Advanced Technology Fusion, Konkuk University. His specialty is biomimetic system design
and smart material application.
Seok Heo received the B.S., M.S. and Ph.D. degrees in Mechanical Engineering from Dongguk University in 1998, 2000, and 2003, Respectively.
Currently he is a Research Professor at the Artificial Muscle Researcch Center, Konkuk University, Seoul, Korea. His research
interests include biomimetics, vibration analysis, system design and control, and smart materials and structures.
Hoon Cheol Park received the B.S. (1985) and M.S. (1987) from Seoul National University in Seoul, Korea and Ph.D. (1994) from the University
of Maryland at College Park, MD, USA. He joined the Department of Aerospace Engineering, Konkuk University in Seoul, Korea,
in 1995, and he is currently a Professor in the Department of Advanced Technology Fusion. His professional experience includes
Kia Motors (1986–1988) and Korea Aerospace Research Institute (1994–1995). His specialty is finite element analysis and his
recent research has focused on biomimetics.
Nam Seo Goo graduated with honors in 1990 from the Department of Aeronautics Engineering of Seoul National University, and he got a masters
degree and Ph.D. from the Department of Aerospace Engineering at the same university in 1992 and 1996, respectively. His Ph.D.
thesis was on the structural dynamics of aerospace systems. As soon as he obtained the Ph.D. he entered the Agency for Defense
development as a senior researcher. In 2002, after four years of service, he joined the Department of Aerospace Engineering
at Konkuk University, Seoul, Korea, where he is currently serving as an Associate Professor of the Department of Advanced
Technology Fusion. His current research interests include structural dynamics of small systems, smart structures and materials,
and MEMS applications.
Taesam Kang is a Professor of the Department of Aerospace and Information System Engineering, Konkuk University. He received the B.S.,
M.S. and Ph.D. degrees from Seoul National University in 1986, 1988 and 1992, respectively. His current research areas are
robust control theories and the application of those theories with regard to flight control, development of micro-aerial vehicles
and fish robots.
Kwang Joon Yoon was awarded the BS (1981) and M.S. (1983) in Aeronautics Engineering from Seoul National University and Ph.D. (1990) in Aeronautics
and Astronautics Engineering from Purdue. Since 1991 he has been a Professor at Konkuk University in Korea, where he is currently
a Professor of Aerospace Engineering, the Director of the National Research Laboratory for Active Structures and Materials,
the Director of the Artificial Muscle Research Center, and the Director of the Smart Robot Center. His current research interests
include smart structures and materials, micro-aerial vehicles, and insect-mimetic micro-robot systems.
Seung Sik Lee received the B.S. (1996) and M.S. (1998) in Civil Engineering from Hongik University in Seoul, Korea and Ph.D. (2003) in
Civil Engineering from Georgia Institute of Technology, GA, USA. Currently he is a Senior Researcher at Korea Institute of
Marine Science & Technology Promotion. 相似文献
11.
Xun-Lin Zhu Guang-Hong Yang Tao Li Chong Lin Lei Guo 《International Journal of Control, Automation and Systems》2009,7(4):530-535
Slack variables approach is an important technique for tackling the delay-dependent stability problem for systems with time-varying
delay. In this paper, a new delay-dependent stability criterion is presented without introducing any slack variable. The technique
is based on a simply integral inequality. The result is shown to be equivalent to some existing ones but includes the least
number of variables. Thus, redundant selection and computation can be avoided so that the computational burden can be largely
reduced. Numerical examples are given to illustrate the effectiveness of the proposed stability conditions.
Recommended by Editorial Board member Young Soo Suh under the direction of Editor Jae Weon Choi. The authors would like to
thank the Associate Editor and the Reviewers for their very helpful comments and suggestions. This work was supported in part
by the Funds for Creative Research Groups of China under Grant 60821063, by the State Key Program of National Natural Science
of China under Grant 60534010, by the Funds of National Science of China under Grant 60674021, 60774013, 60774047, National
973 Program of China under Grant No. 2009CB320604, and by the Funds of Ph.D. program of MOE, China under Grant 20060145019
and the 111 Project B08015.
Xun-Lin Zhu received the B.S. degree in Applied Mathematics from Information Engineering Institute, Zhengzhou, China, in 1986, the M.S.
degree in basic mathematics from Zhengzhou University, Zhengzhou, China, in 1989, and the Ph.D. degree in Control Theory and
Engineer-ing from Northeastern University, Shenyang, China, in 2008. Currently, he is an Associate Professor at Zhengzhou
University of Light Industry, Zhengzhou, China. His research interests include neural networks and networked control systems.
Guang-Hong Yang received the B.S. and M.S. degrees in Northeast University of Technology, China, in 1983 and 1986, respectively, and the
Ph.D. degree in Control Engineering from Northeastern University, China (formerly, Northeast University of Technology), in
1994. He was a Lecturer/Associate Professor with Northeastern University from 1986 to 1995. He joined the Nanyang Technological
University in 1996 as a Postdoctoral Fellow. From 2001 to 2005, he was a Research Scientist/Senior Research Scientist with
the National University of Singapore. He is currently a Professor at the College of Information Science and Engineering, Northeastern
University. His current research interests include fault-tolerant control, fault detection and isolation, non-fragile control
systems design, and robust control. Dr. Yang is an Associate Editor for the International Journal of Control, Automation,
and Systems (IJCAS), and an Associate Editor of the Conference Editorial Board of the IEEE Control Systems Society.
Tao Li was born in 1979. He is now pursuing a Ph.D. degree in Research Institute of Automation Southeast University, China. His
current research interests include time-delay systems, neural networks, robust control, fault detection and diagnosis.
Chong Lin received the B.Sci and M.Sci in Applied Mathematics from the Northeastern University, China, in 1989 and 1992, respectively,
and the Ph.D in Electrical and Electronic Engineering from the Nanyang Technological University, Singapore, in 1999. He was
a Research Associate with the University of Hong Kong in 1999. From 2000 to 2006, he was a Research Fellow with the National
University of Singapore. He is currently a Profesor with the Institute of Complexity Science, Qingdao University, China. His
current research interests are mainly in the area of systems analysis and control.
Lei Guo was born in 1966. He received the Ph.D. degree in Control Engineering from Southeast University (SEU), PR China, in 1997.
From 1999 to 2004, he has worked at Hong Kong University, IRCCyN (France), Glasgow University, Loughborough University and
UMIST, UK. Now he is a Professor in School of Instrument Science and Opto-Electronics Engineering, Beihang University. He
also holds a Visiting Professor position in the University of Manchester, UK and an invitation fellowship in Okayama University,
Japan. His research interests include robust control, stochastic systems, fault detection, filter design, and nonlinear control
with their applications. 相似文献
12.
In-pipe robot based on selective drive mechanism 总被引:3,自引:0,他引:3
Se-gon Roh Do Wan Kim Jung-Sub Lee Hyungpil Moon Hyouk Ryeol Choi 《International Journal of Control, Automation and Systems》2009,7(1):105-112
This paper presents an in-pipe robot, called MRINSPECT V (Multifunctional Robotic crawler for In-pipe inSPECTion V), which is under development for the inspection of pipelines with a nominal 8-inch inside diameter. To travel freely in every
pipeline element, the robot adopts a differential driving mechanism that we have developed. Furthermore, by introducing clutches
in transmitting driving power to the wheels, MRINSPECT V is able to select the suitable driving method according to the shape
of the pipeline and save the energy to drive in pipelines. In this paper, the critical points in the design and construction
of the proposed robot are described with the preliminary results that yield good mobility and increased efficiency.
Recommended by Editorial Board member Dong Hwan Kim under the direction of Editor Jae-Bok Song. This work was supported by
the Postdoctoral Research Program of Sungkyunkwan University (2008).
Se-gon Roh received the B.S., M.S., and Ph.D degrees in Mechatronics Engineering from Sungkyunkwan University, Korea, in 1997, 1999,
and 2006 respectively, and is currently a Researcher of the School of Mechanical Engineering also at Sungkyunkwan University.
His research interests include mechanism design, applications of mobile robots, and in-pipe robots.
Do Wan Kim received the B.S. degree in Mechanical Engineering from Sungkyunkwan University, Korea, in 2007. He is currently working
toward a M.S. degree in Mechanical Engineering also at Sungkyunkwan University. His research interests include field robotics,
in-pipe robots, and autonomous mobile robots.
Jung-Sub Lee received the B.S. degree in Mechanical Engineering in 2008 from Sungkyunkwan University, Suwon, Korea, where he is currently
working toward a M.S. degree in mechatronics engineering. His research interests include robot mechanism design, automation,
and in-pipe robot.
Hyungpil Moon received the B.S. and M.S. degrees in Mechanical Engineering from POSTECH in 1996 and 1998 respectively, and Ph.D. degree
in Mechanical Engineering from University of Michigan in 2005. He joined the faculty of School of Mechanical Engineering in
Sungkyunkwan University as a Full-time Lecturer in 2008. He was a Post-doctoral fellow at Carnegie Mellon University, Robotics
Institute until November 2007. His research interests include distributed manipulation, multiple robot navigation, SLAM, and
biomimetic robotics.
Hyouk Ryeol Choi received the B.S. degree from Seoul National University in 1984, the M.S. degree from Korea Advanced Technology of Science
and Technology (KAIST) in 1986, and the Ph.D. degree from Pohang University of Science and Technology (POSTECH) in 1994, Korea.
Since 1995, he has been with Sungkyunkwan University, where he is currently a Professor of the School of Mechanical Engineering.
He worked as an Associate Engineer with LG Electronics Central Research Laboratory from 1986 to 1989. From 1993 to 1995, he
was with Kyoto University as a grantee of a scholarship from the Japanese Educational Ministry. He visited Advanced Institute
of Industrial Science Technology (AIST), Japan as the JSPS Fellow, from 1999 to 2000. He is now an Associate Editor of IEEE
Transactions on Robotics, International Journal of Control, System, Automation(IJCAS), and International Journal of Intelligent
Service Robots (JISR). His interests include dexterous mechanisms, field applications of robots, and artificial muscle actuator. 相似文献
13.
Sangbum Park Youngjoon Han Hernsoo Hahn 《International Journal of Control, Automation and Systems》2009,7(1):75-84
This paper presents a new balance control scheme for a biped robot. Instead of using dynamic sensors to measure the pose of
a biped robot, this paper uses only the visual information of a specific reference object in the workspace. The zero moment
point (ZMP) of the biped robot can be calculated from the robot’s pose, which is measured from the reference object image
acquired by a CCD camera on the robot’s head. For balance control of the biped robot a servo controller uses an error between
the reference ZMP and the current ZMP, estimated by Kalman filter. The efficiency of the proposed algorithm has been proven
by the experiments performed on both flat and uneven floors with unknown thin obstacles.
Recommended by Editorial Board member Dong Hwan Kim under the direction of Editor Jae-Bok Song. This work was supported by
the Korea Research Foundation Grant funded by the Korean Government (MOEHRD). This research was supported by the MKE(The Ministry
of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA(Institute
for Information Technology Advancement) (IITA-2008-C1090-0803-0006).
Sangbum Park received the B.S. and M.S. degrees from Electronic Engineering of Soongsil University, Seoul, Korea, in 2004 and 2006 respectively.
He has been with School of Electronic Engineering, Soongsil University since 2006, where he is currently pursuing a Ph.D.
His current research interests include biped walking robot, robotics vision.
Youngjoon Han received the B.S., M.S. and Ph.D. degrees in Electronic Engineering from Soongsil University, Seoul, Korea, in 1996, 1998,
and 2003, respectively. He is currently an Assistant Professor in the School of Electornic Engineering at Soongsil University.
His research interests include robot vision system, and visual servo control.
Hernsoo Hahn received the B.S. and M.S. degrees in Electronic Engineering at Soongsil University and Younsei University, Korea in 1982
and 1983 respectively. He received the Ph.D. degree in Computer Engineering from University of Southern California in 1991,
and became an Assistant Professor at the School Electroncis Engneering in Soongsil University in 1992. Currently, he is a
Professor. His research interests include application of vision sensors to mobile robots and measurement systems. 相似文献
14.
Sangkyung Sung Sukchang Yun Woon-Tahk Sung Chang Joo Kim Young Jae Lee 《International Journal of Control, Automation and Systems》2009,7(4):545-552
This paper investigates a new loop design approach of force balance control for the vibratory rate sensor application. The
proposed force balance control design takes advantages of the modified automatic gain control configuration in controlling
the system’s oscillating dynamics at the sense mode. The adapted automatic gain control scheme and force balance strategy,
which maintains a constant oscillation magnitude in the sense mode, have several advantages. First it is possible to analyze
a complicated nonlinear feedback system using a linear control theory, which resulted in straightforward prediction of closed
loop performance. Moreover the control system to achieve the design goals can be implemented using a relatively simple feedback
configuration. An application to the vibratory rate sensor using the proposed automatic gain control configuration witnessed
that the force balance control can be validated in a practical design process. Experiments using an actual micromachined rate
sensor verified the feasibility of the proposed control scheme with demonstration of enhanced performance.
Recommended by Editorial Board member Dong Hwan Kim under the direction of Editor Hyun Seok Yang. This work was supported
by the BK21 Project, ST-IT Fusion Engineering program in Konkuk University, 2008. This work was supported by the KICOS through
a grant provided by the Korean Ministry of Education, Science & Technology in 2008 (No. K20601000001).
Sangkyung Sung is an Assistant Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the M.S. and
Ph.D. degrees in Electrical Engineering from Seoul National University in 1998 and 2003, respectively. His research interests
include inertial sensors, avionic system hardware, integrated navigation, and intelligent vehicle technologies.
Sukchang Yun is a Ph.D. course student of the Department of Aerospace Information Engineering at Konkuk University, Korea. He received
the M.S. degree in Aerospace Engineering from Konkuk University in 2009. His research interests include MEMS mechatronics
and control, INS/GPS integration, and instrumentation.
Woon-Tahk Sung is an Senior Engineer of the Communication Reserarch Center, Samsung Electronics Co. Ltd. He received the Ph.D. degree in
School of Electrical Engineering from Seoul National University in 2007. His research interests include analog and digital
control algorithm, MEMS piezo actuator, circuit design for microsystems using VCM.
Chang Joo Kim is an Assistant Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the Ph.D. degree
in Aeronautical Engineering from Seoul National University in 1991. His research interests include nonlinear optimal control,
helicopter flight mechanics, and helicopter system design.
Young Jae Lee is a Professor of the Department of Aerospace Engineering at Konkuk University, Korea. He received the Ph.D. degree in Aerospace
Engineering from the University of Texas at Austin in 1990. His research interests include integrity monitoring of GNSS signal,
GBAS, RTK, attitude determination, orbit determination, and GNSS related engineering problems. 相似文献
15.
This paper addresses the design problem of robust iterative learning controllers for a class of linear discrete-time systems with norm-bounded parameter uncertainties. An iterative learning algorithm with current cycle feedback is proposed to achieve both robust convergence and robust stability. The synthesis problem of the proposed iterative learmng control (ILC) system is reformulated as a γ-suboptimal H-infinity control problem via the linear fractional transformation (LFT). A sufficient condition for the convergence of the ILC algorithm is presented in terms of linear matrix inequalities (LMIs). Furthermore, the linear wansfer operators of the ILC algorithm with high convergence speed are obtained by using existing convex optimization techniques. The simulation results demonstrate the effectiveness of the proposed method. 相似文献
16.
Seung Yeol Lee Yong Seok Lee Bum Seok Park Sang Heon Lee Chang Soo Han 《Autonomous Robots》2007,22(3):265-280
The objective of the study was to propose a MFR (Multipurpose Field Robot) in hazardous operation environments. This system
combines a basic system composed of a multi-DOF (Degree Of Freedom) manipulator and a mobile platform with an additional module
for construction, national defense and emergency-rescue. According to an additional module type combined with a basic system,
it can be used in a various fields. In this study, we describe a prototype of construction robot which helps a human operator
handle easily construction materials in case of using the cooperation system on construction site. This study introduces an
additional module for construction and a robot control algorithm for a HRC (Human-Robot Cooperation). In addition, it proposes
a novel construction method to install construction materials with robot on construction site.
Seung Yeol Lee received the B.S. degree from the Department of Mechanical Engineering, Myungji University, Seoul, Korea in 2002, and the
M.S. degree from the Department of Mechatronics Engineering, Hanyang University, Seoul, Korea in 2005. He is a Ph.D. degree
candidate from the Department of Mechanical Engineering, Hanyang University, Seoul, Korea. From 2003, He is currently a visiting
researcher in the Research Institute of Technology, Construction Group at the Samsung Corporation, Korea conducting the design
and implementation of construction robot and automation system for construction project. His research interests include design,
control, and application of construction robots, field robotic systems and ergonomic design of robotic systems. He is a member
of the Korea Society of Mechanical Engineers, Architectural Institute of Korea, and Ergonomics Society of Korea.
Yong Seok Lee received the B.S. degree from the Department of Precision Mechanical Engineering, Kunsan national University, Kunsan, Korea
in 2002, and the M.S. degree from the Department of Precision Mechanical Engineering, Hanyang University, Seoul, Korea in
2005. Currently, he is the Post Master in Hanyang University, Korea. His major interests include design and kinematic/dynamic
analysis on multi-purpose field robots and service robots. He is a member of the Architectural Institute of Korea.
Bum Seok Park received the B.S. degree from the Department of Mechanical Engineering, Hanyang University, Ansan, Kyung-gi Do, Korea in
1993, and the M.S. degree from the Department of Mechatronics Engineering, Hanyang University, Seoul, Korea in 1998. He is
a Ph.D. from the Department of Mechatronics System Engineering, Hanyang University, Seoul, Korea From 2006. He is currently
the post-doctor in Hanyang University, Korea. His major interests include embedded robot control system on multi-purpose field
robot and service robot. He is a member of the Korea Society of Mechanical Engineers, Korean Society of Machine Tool Engineers.
Sang Heon Lee graduated with the B.S. degree in Precision Mechanical Engineering from Hanyang University, Seoul, Korea in 1992. He received
the M.S. degree in Precision Engineering from KAIST, Taejon, Korea in 1994 and the Ph.D. degree in Mechanical Engineering
from KAIST in 2001. Currently, he is a senior researcher in Samsung Corporation, Korea. His major interests include the kinematic/dynamic
analysis on multi-body system, application of field robots, and automation in construction.
ChangSoo Han received the B.S. degree from the Department of Mechanical Engineering, Seoul National University Technology, Seoul, Korea
in 1983, and the M.S. and Ph.D. degrees from the Department of Mechanical Engineering, University of Texas at Austin, in 1985
and 1989, respectively. From May 1988 to September 1989, he was a Research Assistant, Robotics Lab in Mechanical Engineering
about manufacturing of the high resolution micro manipulator module. In March 1990, he joined Hanyang University, Ansan, Kyungki-Do,
Korea as a Professor, Department of Mechanical Engineering. From March 1993 to February 1995, he was a Vice President, The
Research Institute of Engineering & Technology of the Hanyang University. From August 1996 to July 1997, he was a Visiting
Professor, Univ. of California at Berkeley. From September 1997 to February 1999, he was a Director, Hanyang Business Incubator.
In August 2000, he joined a Branch President, The Korean Society of Mechanical Engineers. In January 2002, he joined a Committee
Member, The Korean Society of Mechanical Engineers. From January 2001 to December 2001, he was an International Cooperation
Director, The Institute of Control, Automation and Systems, Korea. His research interests include design, control, and application
of robot, automation systems, and advanced vehicle. 相似文献
17.
Mohammad Ali Badamchizadeh Sohrab Khanmohammadi Gasem Alizadeh Ali Aghagolzade 《International Journal of Control, Automation and Systems》2009,7(3):331-339
Considering an infinite number of eigenvalues for time delay systems, it is difficult to determine their stability. We have
developed a new approach for the stability test of time delay nonlinear hybrid systems. Construction of Lyapunov functions
for hybrid systems is generally a difficult task, but once these functions are found, stability’s analysis of the system is
straight-forward. In this paper both delay-independent and delay-dependent stability tests are proposed, based on the construction
of appropriate Lyapunov-Krasovskii functionals. The methodology is based on the sum of squares decomposition of multivariate
polynomials and the algorithmic construction is achieved through the use of semidefinite programming. The reduction techniques
provide numerical solution of large-scale instances; otherwise they will be computationally infeasible to solve. The introduced
method can be used for hybrid systems with linear or nonlinear vector fields. Finally simulation results show the correctness
and validity of the designed method.
Recommended by Editorial Board member Young Soo Suh under the direction of Editor Jae Weon Choi. The authors wish to express
their thanks to Dr. A. Papachristodoulou and Dr. M. Peet for their helpful comments and suggestions.
Mohammad Ali Badamchizadeh was born in Tabriz, Iran, in December 1975. He received the B.S. degree in Electrical Engineering from University of Tabriz
in 1998 and the M.Sc. degree in Control Engineering from University of Tabriz in 2001. He received the Ph.D. degree in Control
Engineering from University of Tabriz in 2007. He is now an Assistant Professor in the Faculty of Electrical and Computer
Engineering at University of Tabriz. His research interests include Hybrid dynamical systems, Stability of systems, Time delay
systems, Robot path planning.
Sohrab Khanmohammadi received the B.S. degree in Industrial Engineering from Sharif University, Iran in 1977 and the M.Sc. degree in Automatic
from University Paul Sabatie, France in 1980 and the Ph.D. degree in Automatic from National University, ENSAE, France in
1983. He is now a Professor of Electrical Engineering at University of Tabriz. His research interests are Fuzzy control, Artificial
Intelligence applications in control and simulation on industrial systems and human behavior.
Gasem Alizadeh was born in Tabriz, Iran in 1967. He received the B.S. degree in Electrical Engineering from Sharif University, Iran in 1990
and the M.Sc. degree from Khajeh Nasir Toosi University, Iran in 1993 and the Ph.D. degree in Electrical Engineering from
Tarbiat Modarres University, Iran in 1998. From 1998, he is a Member of University of Tabriz in Iran. His research interests
are robust and optimal control, guidance, navigation and adaptive control.
Ali Aghagolzadeh was born in Babol, Iran. He received the B.S. degree in Electrical Engineering in 1985 from University of Tabriz, Tabriz,
Iran, and the M.Sc. degree in Electrical Engineering in 1988 from the Illinois Institute of Technology, Chicago, IL. He also
attended the School of Electrical Engineering at Purdue University in August 1998 where he was also employed as a part-time
research assistant and received the Ph.D. degree in 1991. He is currently an Associate Professor of Electrical Engineering
at University of Tabriz, Tabriz, Iran. His research interests include digital signal and image processing, image coding and
communication, computer vision, and image analysis. 相似文献
18.
Hiroaki Imade Ryohei Morishita Isao Ono Norihiko Ono Masahiro Okamoto 《New Generation Computing》2004,22(2):177-186
In this paper, we propose a framework for enabling for researchers of genetic algorithms (GAs) to easily develop GAs running
on the Grid, named “Grid-Oriented Genetic algorithms (GOGAs)”, and actually “Gridify” a GA for estimating genetic networks,
which is being developed by our group, in order to examine the usability of the proposed GOGA framework. We also evaluate
the scalability of the “Gridified” GA by applying it to a five-gene genetic network estimation problem on a grid testbed constructed
in our laboratory.
Hiroaki Imade: He received his B.S. degree in the department of engineering from The University of Tokushima, Tokushima, Japan, in 2001.
He received the M.S. degree in information systems from the Graduate School of Engineering, The University of Tokushima in
2003. He is now in Doctoral Course of Graduate School of Engineering, The University of Tokushima. His research interests
include evolutionary computation. He currently researches a framework to easily develop the GOGA models which efficiently
work on the grid.
Ryohei Morishita: He received his B.S. degree in the department of engineering from The University of Tokushima, Tokushima, Japan, in 2002.
He is now in Master Course of Graduate School of Engineering, The University of Tokushima, Tokushima. His research interest
is evolutionary computation. He currently researches GA for estimating genetic networks.
Isao Ono, Ph.D.: He received his B.S. degree from the Department of Control Engineering, Tokyo Institute of Technology, Tokyo, Japan, in
1994. He received Ph.D. of Engineering at Tokyo Institute of Technology, Yokohama, in 1997. He worked as a Research Fellow
from 1997 to 1998 at Tokyo Institute of Technology, and at University of Tokushima, Tokushima, Japan, in 1998. He worked as
a Lecturer from 1998 to 2001 at University of Tokushima. He is now Associate Professor at University of Tokushima. His research
interests include evolutionary computation, scheduling, function optimization, optical design and bioinformatics. He is a
member of JSAI, SCI, IPSJ and OSJ.
Norihiko Ono, Ph.D.: He received his B.S. M.S. and Ph.D. of Engineering in 1979, 1981 and 1986, respectively, from Tokyo Institute of Technology.
From 1986 to 1989, he was Research Associate at Faculty of Engineering, Hiroshima University. From 1989 to 1997, he was an
associate professor at Faculty of Engineering, University of Tokushima. He was promoted to Professor in the Department of
Information Science and Intelligent Systems in 1997. His current research interests include learning in multi-agent systems,
autonomous agents, reinforcement learning and evolutionary algorithms.
Masahiro Okamoto, Ph.D.: He is currently Professor of Graduate School of Systems Life Sciences, Kyushu University, Japan. He received his Ph.D. degree
in Biochemistry from Kyushu University in 1981. His major research field is nonlinear numerical optimization and systems biology.
His current research interests cover system identification of nonlinear complex systems by using evolutional computer algorithm
of optimization, development of integrated simulator for analyzing nonlinear dynamics and design of fault-tolerant routing
network by mimicking metabolic control system. He has more than 90 peer reviewed publications. 相似文献
19.
In this paper, we propose a new topology called theDual Torus Network (DTN) which is constructed by adding interleaved edges to a torus. The DTN has many advantages over meshes and tori such as better
extendibility, smaller diameter, higher bisection width, and robust link connectivity. The most important property of the
DTN is that it can be partitioned into sub-tori of different sizes. This is not possible for mesh and torus-based systems.
The DTN is investigated with respect to allocation, embedding, and fault-tolerant embedding. It is shown that the sub-torus
allocation problem in the DTN reduces to the sub-mesh allocation problem in the torus. With respect to embedding, it is shown
that a topology that can be embedded into a mesh with dilation δ can also be embedded into the DTN with less dilation. In
fault-tolerant embedding, a fault-tolerant embedding method based on rotation, column insertion, and column skip is proposed.
This method can embed any rectangular grid into its optimal square DTN when the number of faulty nodes is fewer than the number
of unused nodes. In conclusion, the DTN is a scalable topology well-suited for massively parallel computation.
Sang-Ho Chae, M.S.: He received the B.S. in the Computer Science and Engineering from the Pohang University of Science and Technology (POSTECH)
in 1994, and the M.E. in 1996. Since 1996, he works as an Associate Research Engineer in the Central R&D Center of the SK
Telecom Co. Ltd. He took part in developing SK Telecom Short Message Server whose subscribers are now over 3.5 million and
Advanced Paging System in which he designed and implemented high availability concepts. His research interests are the Fault
Tolerance, Parallel Processing, and Parallel Topolgies.
Jong Kim, Ph.D.: He received the B.S. degree in Electronic Engineering from Hanyang University, Seoul, Korea, in 1981, the M.S. degree in
Computer Science from the Korea Advanced Institute of Science and Technology, Seoul, Korea, in 1983, and the Ph.D. degree
in Computer Engineering from Pennsylvania State University, U.S.A., in 1991. He is currently an Associate Professor in the
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea. Prior to this
appointment, he was a research fellow in the Real-Time Computing Laboratory of the Department of Electrical Engineering and
Computer Science at the University of Michigan from 1991 to 1992. From 1983 to 1986, he was a System Engineer in the Korea
Securities Computer Corporation, Seoul, Korea. His major areas of interest are Fault-Tolerant Computing, Performance Evaluation,
and Parallel and Distributed Computing.
Sung Je Hong, Ph.D.: He received the B.S. degree in Electronics Engineering from Seoul National University, Korea, in 1973, the M.S. degree in
Computer Science from Iowa State University, Ames, U.S.A., in 1979, and the Ph.D. degree in Computer Science from the University
of Illinois, Urbana, U.S.A., in 1983. He is currently a Professor in the Department of Computer Science and Engineering, Pohang
University of Science and Technology, Pohang, Korea. From 1983 to 1989, he was a staff member of Corporate Research and Development,
General Electric Company, Schenectady, NY, U.S.A. From 1975 to 1976, he was with Oriental Computer Engineering, Korea, as
a Logic Design Engineer. His current research interest includes VLSI Design, CAD Algorithms, Testing, and Parallel Processing.
Sunggu Lee, Ph.D.: He received the B.S.E.E. degree with highest distinction from the University of Kansas, Lawrence, in 1985 and the M.S.E.
and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1987 and 1990, respectively. He is currently an Associate
Professor in the Department of Electronic and Electrical Engineering at the Pohang University of Science and Technology (POSTECH),
Pohang, Korea. Prior to this appointment, he was an Associate Professor in the Department of Electrical Engineering at the
University of Delaware in Newark, Delaware, U.S.A. From June 1997 to July 1998, he spent one year as a Visiting Scientist
at the IBM T. J. Watson Research Center. His research interests are in Parallel, Distributed, and Fault-Tolerant Computing.
Currently, his main research focus is on the high-level and low-level aspects of Inter-Processor Communications for Parallel
Computers. 相似文献
20.
Ji-Hyuk Yang Su-Yong Shim Jung-Hun Seo Young-Sam Lee 《International Journal of Control, Automation and Systems》2009,7(4):674-680
In this paper, we propose a new swing-up strategy for cart inverted pendulums with restricted rail length. The proposed swing-up
strategy is derived from a new Lyapunov function. The Lyapunov function is defined as the sum of the square of the pendulum
energy and the weighted square of the cart’s velocity. The resulting swing-up strategy is represented in a compact form and
has two design parameters. By adjusting these design parameters, we can affect the swing-up strategy such that the restriction
on the rail length is satisfied. We also provide a state-dependent transformation to obtain voltage input to a DC motor required
to generate the cart’s acceleration obtained from the proposed swing-up strategy. Finally, we illustrate the performance of
the proposed swing-up law through simulation and experiments. It is shown that there is quite good correspondence between
theory and experiments.
Recommended by Editorial Board member Duk-Sun Shim under the direction of Editor Jae Weon Choi. This work was supported by
an Inha Research Grant.
Ji-Hyuk Yang received the M.Sc. degree in Electrical Engineering from Inha University, Inchon, Korea, in 2008. He is currently pursuing
a Ph.D. degree in Electrical Engineering at Inha University, Inchon, Korea. His primary research interest lies in the development
of rapid control prototyping environment.
Su-Yong Shim received the B.Sc. degree in Electrical Engineering from Inha University, Inchon, Korea, in 2008. He is currently pursuing
his M.Sc. degree in Electrical Engineering at Inha University, Inchon, Korea. His research interests are mechatronics and
embedded systems.
Jung-Hun Seo received the B.Sc. degree in Electrical Engineering from Inha University, Inchon, Korea, in 2008. He is currently pursuing
his M.Sc. degree in Electrical Engineering at Inha University, Inchon, Korea. His research interests are mechatronics, embedded
systems, and control applications.
Young Sam Lee received the B.S. and M.S. degrees in Electrical Engineering from Inha University, Inchon, Korea in 1997 and 1999, respectively.
He received the Ph.D. at the School of Electrical Engineering and Computer Science from Seoul National University, Seoul,
Korea, in 2003. His research interests include time delay systems, receding horizon control, signal processing, and embedded
systems. He is currently with the School of Electrical Engineering, Inha University, Incheon, Korea. 相似文献