A novel adaptive fuzzy control design for a class of strict-feedback stochastic nonlinear systems
In this paper, the problem of adaptive fuzzy control design is investigated for strict-feedback stochastic nonlinear systems. Fuzzy logic systems are used to approximate the packaged unknown functions and adaptive backstepping technique is utilized to construct adaptive controller. The proposed controller guarantees that all the signals in the closedloop system are bounded in probability. The main advantages of the proposed controller lie in that fuzzy basis function vectors are not contained in the proposed controller, which makes the adaptive fuzzy control scheme is very simple. And the proposed controller contains only one adaptive parameter that needs to be updated online. Simulation results further demonstrate the effectiveness of the proposed approach.
Stochastic nonlinear systems Adaptive control Fuzzy control Backstepping
Huanqing Wang Bing Chen Chong Lin
School of Mathematics and Physics, Bohai University, Jinzhou 121000 Institute of Complexity Science, Institute of Complexity Science, Qingdao University, Qingdao 266071
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
303-308
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）