Adaptive fuzzy output constrained decentralized control for switched nonlinear large-scale systems with unknown dead zones

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• 作者：Lili Zhang^a ; ^b ; ^{z_l_l2012@163.com} ; Guang-Hong Yang^a ; ^b ; ^{yangguanghong@ise.neu.edu.cn}
• 关键词：Switched nonlinear large-scale systems ; Decentralized state observer ; Fuzzy logic systems ; Prescribed performance theory ; Unknown dead zones
• 刊名：Nonlinear Analysis: Hybrid Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：23
• 期：Complete
• 页码：61-75
• 全文大小：551 K
• 卷排序：23

文摘

In this paper, an adaptive fuzzy output-feedback control design with output constrained is investigated for a class of switched uncertain nonlinear large-scale systems with unknown dead zones and immeasurable states. Based on dynamic surface backstepping control design technique and incorporated by the average dwell time method and the prescribed performance theory, a new adaptive fuzzy output-feedback control method is developed. It is strictly proved that the resulting closed-loop system is stable in the sense of uniformly ultimately boundedness and both transient and steady-state performances of the outputs are preserved. Comparison simulation studies illustrate the effectiveness of the proposed approach.