期刊文献+

一个基于模糊划分结构信息的模糊控制系统稳定性条件

STABILITY ANALYSIS OF FUZZY CONTROL SYSTEMS BASED ON FUZZY PARTITION INFORMATION
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摘要 针对T-S模糊控制系统,为了更好地利用模糊划分的结构信息来降低稳定分析的保守性,在模糊规则输入空间的一种划分方式下,研究了T-S模糊模型的一些性质.然后用扩展的Lyapunov分析方法,获得了保守性更低的稳定性充分条件.最后,通过仿真实验验证了结论的有效性. For T-S fuzzy control systems, in order to make good use of structural information in the fuzzy partition to decrease conservatism of stability analysis, some properties of the complete standard T-S fuzzy control systems are studied. Using extended Lyapunov theory, a relaxed stability condition is obtained. Simulation results show effectiveness of the proposed method.
出处 《北京师范大学学报(自然科学版)》 CAS CSCD 北大核心 2010年第1期26-31,共6页 Journal of Beijing Normal University(Natural Science)
基金 国家自然科学基金资助项目(10971243 60774049) 北京师范大学应用数学重点学科建设项目
关键词 模糊控制 T-S模糊模型 模糊划分 线性矩阵不等式 fuzzy control T-S fuzzy model fuzzy partition linear matrix inequalities
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参考文献16

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二级参考文献39

  • 1修智宏,任光.T-S模糊控制系统的稳定性分析及系统化设计[J].自动化学报,2004,30(5):731-741. 被引量:34
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