Adaptive sampling rate control for networked systems based on statistical characteristics of packet disordering |
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| Affiliation: | 3. Energy Research Institute @ Nanyang Technological University, 637553, Singapore;4. Division of Control and Instrumentation, School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, 639798, Singapore;1. Watarase Research Center, Discovery Research Headquarters, Kyorin Pharmaceutical Co., Ltd., 1848, Nogi, Nogi-machi, Shimotsuga-gun, Tochigi 329-0114, Japan;2. Central Research Laboratories, Kissei Pharmaceutical Co., Ltd., 4365-1, Kashiwabara, Hotaka, Azumino, Nagano 399-8304, Japan;1. School of Electrical Engineering and Automation, Qilu University of Technology, Jinan 250353, PR China;2. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 38541, Republic of Korea;3. Key Laboratory of Pulp & Paper Science Technology of Ministry of Education of China, Qilu University of Technology, Jinan 250353, PR China;1. College of Information Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China;2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex UB8 3PH, United Kingdom;3. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, China;4. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China;5. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;6. Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands;2. Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France;3. Austrian Institute of Technology, Vienna, Austria;4. Cyber-Physical Systems Laboratory, Department of Electrical Engineering, University of California, Los Angeles, CA, USA;5. Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia |
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| Abstract: | This paper investigates an adaptive sampling rate control scheme for networked control systems (NCSs) subject to packet disordering. The main objectives of the proposed scheme are (a) to avoid heavy packet disordering existing in communication networks and (b) to stabilize NCSs with packet disordering, transmission delay and packet loss. First, a novel sampling rate control algorithm based on statistical characteristics of disordering entropy is proposed; secondly, an augmented closed-loop NCS that consists of a plant, a sampler and a state-feedback controller is transformed into an uncertain and stochastic system, which facilitates the controller design. Then, a sufficient condition for stochastic stability in terms of Linear Matrix Inequalities (LMIs) is given. Moreover, an adaptive tracking controller is designed such that the sampling period tracks a desired sampling period, which represents a significant contribution. Finally, experimental results are given to illustrate the effectiveness and advantages of the proposed scheme. |
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| Keywords: | Networked control systems (NCSs) Sampling rate Packet disordering Stochastic stability |
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