Fuzzy-approximation-based adaptive control design of pure-feedback stochastic nonlinear systems
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.
Adaptive fuzzy control Stochastic nonlinear systems Pure-feedback structure Backstepping
WANG Huanqing CHEN Bing LIN Chong
School of Mathematics and Physics, Bohai University, Jinzhou 121000, P. R. China Institute of Comple Institute of Complexity Science, Qingdao University, Qingdao 266071, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
1056-1061
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）