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一类非线性模糊随机脉冲系统的鲁棒模糊控制

Robust Fuzzy Control of Nonlinear Fuzzy Stochastic Impulsive Systems Via LMI Technique
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摘要 采用并行分布补偿的基本思想设计状态反馈控制器,利用Lyapunov方法理论证明了闭环系统全局均方指数稳定,并基于LMI方法,将鲁棒模糊控制器的设计问题转化为线性矩阵不等式问题。 The concept of parallel distributed compensation (PDC) is employed to design the state feedback controller. By Lyapunov method, the resulting closed-loop system is shown to be exponentially stable for globally mean square. By LMI technique, the problem of designing the robust fuzzy controller is translated into linear matrix inequality problem (LMIP).
出处 《江南大学学报(自然科学版)》 CAS 2009年第5期531-534,共4页 Joural of Jiangnan University (Natural Science Edition) 
基金 江苏省高校自然科学基础研究项目(07KJB510125 08KJD510008 09KJB510018)
关键词 模糊控制 T-S模糊模型 模糊随机脉冲系统 线性矩阵不等式 fuzzy control, T-S fuzzy model, fuzzy stochastic impulsive systems, linear matrix inequality
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