Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer

查看全文 作　　者：TONG [1]ShaoCheng;REN Chang'[1]E;LI [1]YongMing

机构地区：[1]Department of Basic Mathematics,Liaoning University of Technology,Jinzhou 121001,China

出　　处：《Science China(Information Sciences)》索引2012年第55卷第1期,共15页

基　　金：supported by National Natural Science Foundation of China(Grant No.61074014);Outstanding Youth Funds of Liaoning Province(Grant No.2005219001);Educational Department of Liaoning Province(Grant No.2007T80) 摘　　要：An adaptive fuzzy decentralized backstepping output-feedback control approach is proposed for a class of nonlinear large-scale systems with completely unknown functions,the interconnections mismatched in control inputs,and without the measurements of the states.Fuzzy logic systems are employed to approximate the unknown nonlinear functions,and an adaptive high-gain observer is developed to estimate the unmeasured states.Using the designed high-gain observer,and combining the fuzzy adaptive control theory with backstepping approach,an adaptive fuzzy decentralized backstepping output-feedback control scheme is developed.It is proved that the proposed control approach can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded(SUUB),and that the observer errors and the tracking errors converge to a small neighborhood of the origin by appropriate choice of the design parameters.Finally,a simulation example is provided to show the eectiveness of the proposed approach. 关键词：自适应控制理论模糊逻辑系统高增益观测器非线性函数分散控制大型系统 BACKSTEPPING方法输出反馈控制

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Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer

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