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

作　　者：WANG HuanQing CHEN Bing LIN Chong 

机构地区：[1]School of Mathematics and Physics,Bohai University [2]Institute of Complexity Science,Qingdao University

出　　处：《Science China(Information Sciences)》2014年第3期228-243,共16页中国科学（信息科学）（英文版）

基　　金：partially supported by Natural Science Foundation of China(Grant Nos.61074008,61174033,60974071)

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 effectiveness of the suggested approach.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 effectiveness of the suggested approach.

关 键 词：stochastic nonlinear systems in non-strict-feedback form adaptive control fuzzy control backstepping approach 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]