Adaptive backstepping-based fuzzy tracking control scheme for output-constrained nonlinear switched lower triangular systems with time-delays

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• 作者：Ben Niu^a ; ^{niubenbhu@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; ^{niubenbhu@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Lina Liu^a ; ^{liulinabhu@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Yanyan Liu^b ; ^{yanyanliu11@yahoo.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Switched nonlinear systems ; Adaptive fuzzy control ; Output constraints ; Time-delays
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：29 January 2016
• 年：2016
• 卷：175
• 期：part_PA
• 页码：759-767
• 全文大小：1582 K

文摘

In this paper, an adaptive backstepping-based fuzzy tracking control scheme is proposed for a class of output-constrained nonlinear switched lower triangular systems with time-delays. In the design process, a Barrier Lyapunov Function is employed to deal with the output constraint, the common Lyapunov function method combined with the recursive backstepping technique and Lyapunov–Krasovskii functionals is used to construct a state feedback controller, and fuzzy logic systems are applied to approximate the unknown nonlinear functions. The constructed controller assures that all signals in the closed-loop system are bounded without transgression of the constraint, and the system output eventually converges to a small neighborhood of the desired reference signal. The simulation example is provided to show the effectiveness of the developed approach.