Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones
Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones
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DOI：
10.1109/tsmc.2015.2426131
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Shaocheng Tong;Lili Zhang;Yong-ming Li
中科院分区：
文献类型：
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作者：
Shaocheng Tong;Lili Zhang;Yong-ming Li
研究了一类严格反馈形式的非线性切换大系统的自适应模糊分散输出反馈控制设计问题。所考虑的非线性大系统包含未知的非线性和死区，开关信号的平均停留时间，并没有直接要求的状态可用于反馈。利用模糊逻辑系统逼近未知非线性函数，设计模糊切换分散状态观测器，从而获得不可测状态。应用自适应分散反推设计技术，提出了一种自适应模糊分散输出反馈跟踪控制方法。利用李雅普诺夫函数和平均驻留时间方法证明了整个闭环系统的稳定性。在平均驻留时间的切换信号下，系统具有满意的跟踪性能。仿真实例验证了该控制方法的有效性。
In this paper, the problem of adaptive fuzzy decentralized output-feedback control design is investigated for a class of switched nonlinear large-scale systems in strict-feedback form. The considered nonlinear large-scale systems contain the unknown nonlinearities and dead zones, the switching signals with average dwell time, and without the direct requirement of the states being available for feedback. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, a fuzzy switched decentralized state observer is designed and thus via it the immeasurable states are obtained. By applying the adaptive decentralized backstepping design technique, an adaptive fuzzy decentralized output-feedback tracking control approach is developed for the switched subsystems. The stability of the whole closed-loop system is proved by using the Lyapunov function and the average dwell-time methods. Satisfactory tracking performance is achieved under the switching signals with average dwell time. The simulation example is provided to indicate the effectiveness of the proposed control method.