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1.
This paper addresses the problem of fault detection and isolation for a particular class of discrete event dynamical systems
called hierarchical finite state machines (HFSMs). A new version of the property of diagnosability for discrete event systems
tailored to HFSMs is introduced. This notion, called L1-diagnosability, captures the possibility of detecting an unobservable fault event using only high level observations of the
behavior of an HFSM. Algorithms for testing L1-diagnosability are presented. In addition, new methodologies are presented for studying the diagnosability properties of
HFSMs that are not L1-diagnosable. These methodologies avoid the complete expansion of an HFSM into its corresponding flat automaton by focusing
the expansion on problematic indeterminate cycles only in the associated extended diagnoser.
Andrea Paoli received the master degree in Computer Science Engineering and the Ph.D. in Automatic Control and Operational Research from the University of Bologna in 2000 and 2003 respectively. He currently holds a Post Doc position at the Department of Electronics, Computer Science and Systems (DEIS) at the University of Bologna, Italy. He is a member of the Center for Research on Complex Automated Systems (CASY) Giuseppe Evangelisti. From August to January 2002, and in March 2005 he held visiting positions at the Department of Electrical Engineering and Computer Science at The University of Michigan, Ann Arbor. In July 2005 he won the prize IFAC Outstanding AUTOMATICA application paper award for years 2002-2005 for the article by Claudio Bonivento, Alberto Isidori, Lorenzo Marconi, Andrea Paoli titled Implicit fault-tolerant control: application to induction motors appeared on AUTOMATICA issue 30(4). Since 2006 he is a member of the IFAC Technical Committee on Fault Detection, Supervision and Safety of Technical Processes (IFAC SAFEPROCESS TC). His current research interests focus on Fault Tolerant Control and Fault Diagnosis in distributed systems and in discrete event systems and on industrial automation software architectures following an agent based approach. His theoretical background includes also nonlinear control and output regulation using geometric approach. Stéphane Lafortune received the B. Eng degree from Ecole Polytechnique de Montréal in 1980, the M. Eng. degree from McGill University in 1982, and the Ph.D. degree from the University of California at Berkeley in 1986, all in electrical engineering. Since September 1986, he has been with the University of Michigan, Ann Arbor, where he is a Professor of Electrical Engineering and Computer Science. Dr. Lafortune is a Fellow of the IEEE (1999). He received the Presidential Young Investigator Award from the National Science Foundation in 1990 and the George S. Axelby Outstanding Paper Award from the Control Systems Society of the IEEE in 1994 (for a paper co-authored with S. L. Chung and F. Lin) and in 2001 (for a paper co-authored with G. Barrett). At the University of Michigan, he received the EECS Department Research Excellence Award in 1994–1995, the EECS Department Teaching Excellence Award in 1997–1998, and the EECS Outstanding Achievement Award in 2003–2004. Dr. Lafortune is a member of the editorial boards of the Journal of Discrete Event Dynamic Systems: Theory and Applications and of the International Journal of Control. His research interests are in discrete event systems modeling, diagnosis, control, and optimization. He is co-developer of the software packages DESUMA and UMDES. He co-authored, with C. Cassandras, the textbook Introduction to Discrete Event Systems—Second Edition (Springer, 2007). Recent publications and software tools are available at the Web site . 相似文献
| Stéphane LafortuneEmail: |
Andrea Paoli received the master degree in Computer Science Engineering and the Ph.D. in Automatic Control and Operational Research from the University of Bologna in 2000 and 2003 respectively. He currently holds a Post Doc position at the Department of Electronics, Computer Science and Systems (DEIS) at the University of Bologna, Italy. He is a member of the Center for Research on Complex Automated Systems (CASY) Giuseppe Evangelisti. From August to January 2002, and in March 2005 he held visiting positions at the Department of Electrical Engineering and Computer Science at The University of Michigan, Ann Arbor. In July 2005 he won the prize IFAC Outstanding AUTOMATICA application paper award for years 2002-2005 for the article by Claudio Bonivento, Alberto Isidori, Lorenzo Marconi, Andrea Paoli titled Implicit fault-tolerant control: application to induction motors appeared on AUTOMATICA issue 30(4). Since 2006 he is a member of the IFAC Technical Committee on Fault Detection, Supervision and Safety of Technical Processes (IFAC SAFEPROCESS TC). His current research interests focus on Fault Tolerant Control and Fault Diagnosis in distributed systems and in discrete event systems and on industrial automation software architectures following an agent based approach. His theoretical background includes also nonlinear control and output regulation using geometric approach. Stéphane Lafortune received the B. Eng degree from Ecole Polytechnique de Montréal in 1980, the M. Eng. degree from McGill University in 1982, and the Ph.D. degree from the University of California at Berkeley in 1986, all in electrical engineering. Since September 1986, he has been with the University of Michigan, Ann Arbor, where he is a Professor of Electrical Engineering and Computer Science. Dr. Lafortune is a Fellow of the IEEE (1999). He received the Presidential Young Investigator Award from the National Science Foundation in 1990 and the George S. Axelby Outstanding Paper Award from the Control Systems Society of the IEEE in 1994 (for a paper co-authored with S. L. Chung and F. Lin) and in 2001 (for a paper co-authored with G. Barrett). At the University of Michigan, he received the EECS Department Research Excellence Award in 1994–1995, the EECS Department Teaching Excellence Award in 1997–1998, and the EECS Outstanding Achievement Award in 2003–2004. Dr. Lafortune is a member of the editorial boards of the Journal of Discrete Event Dynamic Systems: Theory and Applications and of the International Journal of Control. His research interests are in discrete event systems modeling, diagnosis, control, and optimization. He is co-developer of the software packages DESUMA and UMDES. He co-authored, with C. Cassandras, the textbook Introduction to Discrete Event Systems—Second Edition (Springer, 2007). Recent publications and software tools are available at the Web site . 相似文献
2.
本文讨论离散事件系统的无死锁模块化状态反馈问题。首先我们定义自动机的交与并运算，然后通过引入自动机对的Ｄ－不变关系，我们证明当控制目标是两个谓词的交时，模块化状态反馈控制器是无死锁的充要条件是各子控制器是无死锁的且相应的控制器满足Ｄ－不变关系。我们证明了一个给定的自动机对于另一自动机的Ｄ－不变子自动机类有最大元存大，并由此给出一个综合算法。 相似文献
3.
在状态树结构(State tree structures, STS)的基础上提出了离散事件系统的模块化监督控制方法. 该方法中, 系统模型是状态树结构模型, 控制指标以谓词形式给出. 把控制指标分解为几个子控制指标的合取形式, 对每个子控制指标分别设计非阻塞最优监督控制器, 并保证闭环系统行为满足控制指标要求且是非阻塞最优的. 本文研究了模块化监督控制器存在性条件, 给出了模块化监督控制器的综合过程; 当闭环系统阻塞时, 引入协调器来解决闭环系统阻塞问题并且给出了协调器的设计方法. 相似文献
4.
本文针对机器人智能化、网络化的发展趋势,设计和优化了机器人操作系统整体架构,针对机器人运行中间件的实时操作系统内核进行了适配和优化,完成了机器人功能组件的封装,对机器人脚本的运行时环境进行了实现和优化,研发了兼具实时性、智能化和交互性好的机器人操作系统和可视化集成开发调试平台. 相似文献