Approximation-based adaptive fuzzy control for a class of non-strict-feedback stochastic nonlinear systems

被引:0
|
作者
WANG HuanQing [1 ,2 ]
CHEN Bing [2 ]
LIN Chong [2 ]
机构
[1] School of Mathematics and Physics,Bohai University
[2] Institute of Complexity Science,Qingdao University
关键词
stochastic nonlinear systems; in non-strict-feedback form; adaptive control; fuzzy control; back-stepping approach;
D O I
暂无
中图分类号
TP13 [自动控制理论];
学科分类号
0711 ; 071102 ; 0811 ; 081101 ; 081103 ;
摘要
This paper considers the problem of adaptive fuzzy control of a class of single-input/single-output(SISO)nonlinear stochastic systems in non-strict-feedback form.Fuzzy logic systems are used to approximate the uncertain nonlinearities and backstepping technique is utilized to construct an adaptive fuzzy controller.The proposed controller guarantees that all the signals in the resulting closed-loop system are bounded in probability.The main contribution of this note lies in providing a control strategy for a class of nonlinear systems in non-strict-feedback form.Simulation result is used to test the efectiveness of the suggested approach.
引用
收藏
页码:233 / 248
页数:16
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