Finite-Time Control for Multiple Time Delayed Switched Random Systems via a k-Step Fault Estimation Technique | IEEE Journals & Magazine | IEEE Xplore

Finite-Time Control for Multiple Time Delayed Switched Random Systems via a k-Step Fault Estimation Technique


Abstract:

This article focuses on the finite-time fault estimation observer and controller design for switched random models subject to multiple time-varying delays. It is assumed ...Show More

Abstract:

This article focuses on the finite-time fault estimation observer and controller design for switched random models subject to multiple time-varying delays. It is assumed that there exist actuator faults, model nonlinearities, external disturbances, and sensor faults in these systems. First, an observer is proposed to obtain the estimations of the system states, disturbances, as well as sensor and actuator faults. Compared with the existing results, the suggested observer estimates these sizes and shapes of states, exogenous disturbances, actuator, and sensor faults more accurately. This kind of unknown nonlinear dynamic can be approached by this generalized fuzzy hyperbolic model. Delay-dependent sufficient conditions of robust mean-square finite-time boundedness are obtained for the error system via a piecewise Lyapunov function. Observer matrices are obtained and finite-time fault estimation is realized. Second, we establish a novel controller based on fault estimation information. In addition, the piecewise function is developed to acquire delay-dependent adequate conditions of finite-time control. Controller matrices are obtained and finite-time fault-tolerant control can be achieved. At last, this validity of the method shown in this work is demonstrated via a practical simulation example.
Page(s): 4986 - 4998
Date of Publication: 03 May 2024

ISSN Information:

Funding Agency:

Author image of Shaoxin Sun
College of Automation, Chongqing University, Chongqing, China
Shaoxin Sun (Member, IEEE) received the B.S. degree in control technology and instrument from Hebei University, Baoding, China, in 2014, and the M.S. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2016, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2021.
She is currently an Associate Researcher with the College o...Show More
Shaoxin Sun (Member, IEEE) received the B.S. degree in control technology and instrument from Hebei University, Baoding, China, in 2014, and the M.S. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2016, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2021.
She is currently an Associate Researcher with the College o...View more
Author image of Xiaojie Su
College of Automation, Chongqing University, Chongqing, China
Xiaojie Su (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from the Harbin Institute of Technology, Harbin, China, in 2013.
He is currently a Professor and a Dean with the College of Automation, Chongqing University, Chongqing, China. He has published 3 research monographs and more than 100 research papers in international referred journals. His current research interests include i...Show More
Xiaojie Su (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from the Harbin Institute of Technology, Harbin, China, in 2013.
He is currently a Professor and a Dean with the College of Automation, Chongqing University, Chongqing, China. He has published 3 research monographs and more than 100 research papers in international referred journals. His current research interests include i...View more
Author image of Jian Han
School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong, China
Jian Han received the B.S. degree in mathematics and applied mathematics from Shenyang Normal University, Shenyang, China, in 2008, the M.S. degree in applied mathematics from Liaoning Technical University, Fuxin, China, in 2011, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2017.
He is currently an Associate Professor with the School of Mathematics and Statistics...Show More
Jian Han received the B.S. degree in mathematics and applied mathematics from Shenyang Normal University, Shenyang, China, in 2008, the M.S. degree in applied mathematics from Liaoning Technical University, Fuxin, China, in 2011, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2017.
He is currently an Associate Professor with the School of Mathematics and Statistics...View more
Author image of Yuliang Cai
School of Mathematics and Statistics, Liaoning University, Shenyang, Liaoning, China
Yuliang Cai received the M.S. degree in control theory and control engineering from the Dalian University of Technology, Dalian, China, in 2017, and the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 2022.
She is currently an Associate Professor with Liaoning University, Shenyang. Her research interests include multiagent system control, fuzzy control, and adapt...Show More
Yuliang Cai received the M.S. degree in control theory and control engineering from the Dalian University of Technology, Dalian, China, in 2017, and the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 2022.
She is currently an Associate Professor with Liaoning University, Shenyang. Her research interests include multiagent system control, fuzzy control, and adapt...View more

I. Introduction

When building mathematical models for physical or man-made systems, switched systems can be used because of the switching features of the practical systems, for instance, power electronics, network control models, tunnel diode circuit system models, flight control models, and induction motor systems [1]. In [2], quantized control was explored for a cluster of networked switched systems under the round-robin protocol and was applied to two inverted pendulums. In [3], the issue of global stabilization was investigated for switched feedforward time delayed systems where time delays appeared in states, as well as inputs and a practical switched induction heater circuit system was studied. Sun et al. [4] focused on the fault detection issue for switched models and a typical switched radio link control circuit was used to show the utility of the developed parity space-based fault detection method. In [5], the event-triggered multisource bumpless transfer control problem of networked switched systems with the almost output regulation performance subject to switching deception attacks was investigated, and a switched resistance–inductor–capacitance circuit was researched. However, there are still many stability analysis issues that need to be addressed for switched systems, such as switched systems with faults, switched systems with delays, and so on, which arouses our great research interest.

Author image of Shaoxin Sun
College of Automation, Chongqing University, Chongqing, China
Shaoxin Sun (Member, IEEE) received the B.S. degree in control technology and instrument from Hebei University, Baoding, China, in 2014, and the M.S. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2016, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2021.
She is currently an Associate Researcher with the College of Automation, Chongqing University, Chongqing, China. Her current research interests include fuzzy systems, time-delay systems, fault estimation, fault tolerant control, and stochastic/random systems.
Shaoxin Sun (Member, IEEE) received the B.S. degree in control technology and instrument from Hebei University, Baoding, China, in 2014, and the M.S. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2016, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2021.
She is currently an Associate Researcher with the College of Automation, Chongqing University, Chongqing, China. Her current research interests include fuzzy systems, time-delay systems, fault estimation, fault tolerant control, and stochastic/random systems.View more
Author image of Xiaojie Su
College of Automation, Chongqing University, Chongqing, China
Xiaojie Su (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from the Harbin Institute of Technology, Harbin, China, in 2013.
He is currently a Professor and a Dean with the College of Automation, Chongqing University, Chongqing, China. He has published 3 research monographs and more than 100 research papers in international referred journals. His current research interests include intelligent control systems, advanced control and system analysis, and application of intelligent robot control.
Prof. Su was named to the 2017–2023 Highly Cited Researchers list, Clarivate Analytics. He is the Founding Chair of IEEE Beijing Section, Systems, Man, and Cybernetics and Robotics and Automation Joint Societies Chapter. He currently serves as an Associate Editor for a number of journals, including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Systems Journal, Information Sciences, Conference Editorial Board, and IEEE Control Systems Society. He is an Steering Committee Member of IEEE Transactions on Big Data, 2022–2023.
Xiaojie Su (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from the Harbin Institute of Technology, Harbin, China, in 2013.
He is currently a Professor and a Dean with the College of Automation, Chongqing University, Chongqing, China. He has published 3 research monographs and more than 100 research papers in international referred journals. His current research interests include intelligent control systems, advanced control and system analysis, and application of intelligent robot control.
Prof. Su was named to the 2017–2023 Highly Cited Researchers list, Clarivate Analytics. He is the Founding Chair of IEEE Beijing Section, Systems, Man, and Cybernetics and Robotics and Automation Joint Societies Chapter. He currently serves as an Associate Editor for a number of journals, including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Systems Journal, Information Sciences, Conference Editorial Board, and IEEE Control Systems Society. He is an Steering Committee Member of IEEE Transactions on Big Data, 2022–2023.View more
Author image of Jian Han
School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong, China
Jian Han received the B.S. degree in mathematics and applied mathematics from Shenyang Normal University, Shenyang, China, in 2008, the M.S. degree in applied mathematics from Liaoning Technical University, Fuxin, China, in 2011, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2017.
He is currently an Associate Professor with the School of Mathematics and Statistics Science, Ludong University, Yantai, China. His research interests include fault detection, fault estimation, fault tolerant control, and disturbance attenuation.
Jian Han received the B.S. degree in mathematics and applied mathematics from Shenyang Normal University, Shenyang, China, in 2008, the M.S. degree in applied mathematics from Liaoning Technical University, Fuxin, China, in 2011, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, in 2017.
He is currently an Associate Professor with the School of Mathematics and Statistics Science, Ludong University, Yantai, China. His research interests include fault detection, fault estimation, fault tolerant control, and disturbance attenuation.View more
Author image of Yuliang Cai
School of Mathematics and Statistics, Liaoning University, Shenyang, Liaoning, China
Yuliang Cai received the M.S. degree in control theory and control engineering from the Dalian University of Technology, Dalian, China, in 2017, and the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 2022.
She is currently an Associate Professor with Liaoning University, Shenyang. Her research interests include multiagent system control, fuzzy control, and adaptive dynamic programming.
Yuliang Cai received the M.S. degree in control theory and control engineering from the Dalian University of Technology, Dalian, China, in 2017, and the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 2022.
She is currently an Associate Professor with Liaoning University, Shenyang. Her research interests include multiagent system control, fuzzy control, and adaptive dynamic programming.View more
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