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Decentralized robust stabilization of discrete-time fuzzy large-scale systems with parametric uncertainties: a LMI method

机译:具有参数不确定性的离散模糊大系统的分散鲁棒镇定:LMI方法

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摘要

Decentralized robust stabilization problem of discrete-time fuzzy large-scale systems with parametric uncertainties is considered. This uncertain fuzzy large-scale system consists of N interconnected T-S fuzzy subsystems, and the parametric uncertainties are unknown but norm-bounded. Based on Lyapunov stability theory and decentralized control theory of large-scale system, the design schema of decentralized parallel distributed compensation (DPDC) fuzzy controllers to ensure the asymptotic stability of the whole fuzzy large-scale system is proposed. The existence conditions for these controllers take the forms of LMIs. Finally a numerical simulation example is given to show the utility of the method proposed.
机译:考虑具有参数不确定性的离散模糊大系统的分散鲁棒镇定问题。这个不确定的模糊大系统由N个相互连接的T-S模糊子系统组成,参数不确定性未知,但有范数约束。基于Lyapunov稳定性理论和大型系统的分散控制理论,提出了分散并行分布补偿(DPDC)模糊控制器的设计方案,以确保整个模糊大型系统的渐近稳定性。这些控制器的存在条件采用LMI的形式。最后给出了一个数值仿真例子,说明了该方法的实用性。

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