Adaptive fuzzy output feedback fault-tolerant tracking control of switched uncertain nonlinear systems with sensor faults |
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Authors: | Yu Xiong Yifei Wu Shi Li Zhengrong Xiang |
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Institution: | 1. School of Information and Software Engineering, University of Electronic Science and Technology of China, China;2. School of Mathematical Science, University of Electronic Science and Technology of China, China;3. School of Information Science and Engineering, Chengdu University, China;1. School of Automation and Information Engineering, Xi’an University of Technology, China;2. Autonomous Systems and Intelligent Control International Joint Research Center, Xi’an Technological University, China;3. State Key Laboratory of Astronautic Dynamics, China;1. School of New Energy, Harbin Institute of Technology (Weihai), Weihai 264209, PR China;2. College of Engineering, Texas A&M University-Kingsville, Kingsville, TX 78363, USA;1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Ministry of Education, Shanghai 200237, China;2. Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China |
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Abstract: | This paper investigates the adaptive fuzzy output feedback fault-tolerant tracking control problem for a class of switched uncertain nonlinear systems with unknown sensor faults. In this paper, since the sensor may suffer from an unknown constant loss scaling failure, only actual output can be used for feedback design. A failure factor is employed to represent the loss of effectiveness faults. Then, an adaptive estimation coefficient is introduced to estimate the failure factor, and a state observer based on the actual output is constructed to estimate the system states. Fuzzy logic systems are used to approximate the unknown nonlinear functions. Based on the Lyapunov function method and the backstepping technique, the proposed control scheme with average dwell time constraints can guarantee that all states of the closed-loop system are bounded and the tracking error can converge to a small neighborhood of zero. Finally, two simulation examples are given to illustrate the effectiveness of the proposed scheme. |
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