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不确定离散非线性系统的模糊控制

A New Approach to Quadratic Stabilization of Discrete Uncertain Nonlinear System
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摘要 针对状态不完全可测的一类不确定离散非线性系统,基于状态观测器研究其镇定问题.采用T-S模型对非线性系统进行建模,根据李雅普诺夫稳定性理论,采用线性矩阵不等式(LMI)的形式,利用分散化并行分布补偿(PDC)的方法和新条件,设计了基于观测器的控制器,给出了实现该非线性系统镇定的充分条件.并通过数值仿真对提出的方法进行了验证,仿真结果表明了该方法的正确性. For the quadratic stabilization problem of a class of discrete - time nonlinear system with parametric uncertainties, the problem of design an controller based on state observer is considered. The Takagi- Sugeno ( T- S) fuzzy model was adopted for fuzzy modeling of the sys- tem. According to Lyapunov stability theory, the scheme of decentralized PDC ( Parallel Distributed Compensation) fuzzy control was used to design controller based on a new approach in the form of LMI. Besides, the sufficient condition that ensures quadratic stabilization of the system was derived. The conclusion was tested by numerical simulation which proves the correctness of the conclusion.
作者 陈升 蔡敏
出处 《大连交通大学学报》 CAS 2008年第6期1-6,共6页 Journal of Dalian Jiaotong University
基金 国家自然科学基金资助项目(60674056) 国家重大基础研究规划资助项目(2002CB312200) 辽宁省青年人才基金资助项目(2005219001)
关键词 T-S模型 线性矩阵不等式 并行分布补偿 T-S model linear matrix inequalities parallel distributed compensation
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参考文献4

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  • 4FANG CHUN-HSIUNG, LIU YUNG-SHENG. A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems [ J ]. IEEE Trans. Fuzzy syst, 2006, 14 (3) :386-397.

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