Adaptive fuzzy decentralized control for a class of large-scale stochastic nonlinear systems

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• 作者：Huanqing Wang^a ; ^bAuthor Vitae ; Bing Chen^a ; ^{chenbing1958@yahoo.com.cn}Author Vitae ; Chong Lin^aAuthor Vitae
• 关键词：Stochastic nonlinear large-scale systems ; Fuzzy logic systems ; Adaptive decentralized control ; Backstepping approach
• 刊名：Neurocomputing
• 出版年：2013
• 出版时间：1 March, 2013
• 年：2013
• 卷：103
• 期：Complete
• 页码：155-163
• 全文大小：383 K

文摘

In this paper, an adaptive fuzzy decentralized control approach is proposed for a class of uncertain stochastic nonlinear large-scale systems. Fuzzy logic systems are used to approximate the unknown nonlinearities and backstepping technique is utilized to construct adaptive fuzzy decentralized controller. It is shown that the proposed control scheme guarantees that all the closed-loop systems are semi-globally uniformly ultimately bounded in probability. Compared with the existing adaptive fuzzy decentralized control approaches, the proposed controller is simpler, and only one adaptive parameter needs to be estimated online for each subsystem. A numerical example is provided to illustrate the effectiveness of the suggested approach.