Fuzzy-approximation-based adaptive control design of pure-feedback stochastic nonlinear systems

被引：0
作者：
Wang Huanqing [1 ,2 ]
Chen Bing [2 ]
Lin Chong [2 ]
机构：
[1] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Peoples R China
[2] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
来源：
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词：
Adaptive fuzzy control; Stochastic nonlinear systems; Pure-feedback structure; Backstepping; STABILIZATION; UNCERTAIN; TRACKING; DELAYS; FORM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers the problem of fuzzy-approximation-based adaptive control for a class of nonlinear stochastic systems with pure-feedback structure. Based on the fuzzy logic systems' universal approximation capability, an adaptive fuzzy controller is constructed via backstepping. The proposed controller guarantees that all the signals in the closed-loop system are bounded in probability. Compared with the conventional adaptive fuzzy control scheme, the proposed controller is more simple, and only one adaptive parameter needs to be estimated online for nth-order systems. Simulation example further demonstrate the feasibility of the proposed control scheme.
引用
收藏
页码：1056 / 1061
页数：6
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