Observer-based adaptive fuzzy decentralized control for stochastic large-scale nonlinear systems with unknown dead-zones

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• 作者：Shuai Sui ; Shaocheng Tong ; Yongming Li
• 关键词：Stochastic nonlinear large-scale system ; Fuzzy adaptive decentralized control ; Backstepping technique ; Unknown dead-zone
• 刊名：Information Sciences
• 出版年：20 February, 2014
• 年：2014
• 卷：259
• 期：Complete
• 页码：71-86
• 全文大小：845 K

文摘

This paper studies the problem of adaptive fuzzy decentralized output feedback control for a class of uncertain stochastic large-scale nonlinear systems. The considered systems have unknown nonlinear functions, unknown dead-zones, unmodeled dynamics and unmeasurable state variables. Therefore, fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and a fuzzy state observer is established to estimate the unmeasurable states. Based on the backstepping design and the supply changing function technique, a robust adaptive fuzzy decentralized output feedback control approach is developed. The proposed control approach can ensure the closed-loop system to be input-state-practically stable (ISpS) in probability, and accommodate the unmodeled dynamics and unknown dead-zones as well. The effectiveness of the proposed control approach is illustrated by a simulation example.