RESEARCH ARTICLE
Adaptive fuzzy output-feedback tracking control for switched stochastic pure-feedback nonlinear systems
Yi Chang,
Yuanqing Wang,
Fuad E. Alsaadi,
Guangdeng Zong,
Corresponding Author
Yi Chang
School of Engineering, Bohai University, Jinzhou, China
Yi Chang, School of Engineering, Bohai University, Jinzhou 121000, China.
Email: [email protected]
Search for more papers by this authorYuanqing Wang
School of Engineering, Bohai University, Jinzhou, China
Search for more papers by this authorFuad E. Alsaadi
Department of Electrical & Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Search for more papers by this authorGuangdeng Zong
School of Engineering, Qufu Normal University, Rizhao, China
Search for more papers by this authorYi Chang,
Yuanqing Wang,
Fuad E. Alsaadi,
Guangdeng Zong,
Corresponding Author
Yi Chang
School of Engineering, Bohai University, Jinzhou, China
Yi Chang, School of Engineering, Bohai University, Jinzhou 121000, China.
Email: [email protected]
Search for more papers by this authorYuanqing Wang
School of Engineering, Bohai University, Jinzhou, China
Search for more papers by this authorFuad E. Alsaadi
Department of Electrical & Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Search for more papers by this authorGuangdeng Zong
School of Engineering, Qufu Normal University, Rizhao, China
Search for more papers by this authorSummary
This paper considers the problem of adaptive fuzzy output-feedback tracking control for a class of switched stochastic nonlinear systems in pure-feedback form. Unknown nonlinear functions and unmeasurable states are taken into account. Fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy observer is designed to estimate the immeasurable states. Based on these methods, an adaptive fuzzy output-feedback control scheme is developed by combining the backstepping recursive design technique and the common Lyapunov function approach. It is shown that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded in mean square in the sense of probability, and the observer errors and tracking errors can be regulated to a small neighborhood of the origin by choosing appropriate parameters. Finally, a simulation result is provided to show the effectiveness of the proposed control method.
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