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基于模糊模型的不确定非线性系统鲁棒D镇定 被引量:5

Robust D-stabilization for uncertain nonlinear systems based on fuzzy models
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摘要 针对 T- S模糊模型描述的不确定非线性系统 ,应用二次 D-稳定概念 ,对给定复平面上的某一D域提出模糊系统全局鲁棒 D-稳定的充分条件 ,基于并行分布补偿 (PDC)技术 ,各局部状态反馈镇定控制器设计归结于解一组耦合线性矩阵不等式 (L MI) ,全局控制器通过隶属度函数由各局部控制器混合而成 ,并以此保证整个系统的鲁棒 D-稳定性。最后用质量弹簧阻尼系统给出了仿真示例。 The robust D stabilization problem is discussed for a class of Takagi Sugeno fuzzy models with uncertainties. The notion of quadratic D stability is generalized to the uncertain nonlinear systems which reduce to a set of Takagi Sugeno fuzzy models. The D subrigion of the complex plane is defined basedonLMIrepresentationandtherobust D stabilityconditionisestablished in termsofthe feasibilityofaclassofLMIs.Usingparalleldistributedcompensation(PDC),localrobust D stabilizable controllers via state feedback are derived by the numerical solutions of a set of coupled LMIs and the global controller is a fuzzy blending of the local linear controllers. An example of mass spring damper is given to illustrate the results.
出处 《控制与决策》 EI CSCD 北大核心 2002年第5期532-535,540,共5页 Control and Decision
基金 国家杰出青年基金项目 (6 0 0 2 5 30 8) 中国高等学校优秀青年教师教学和科研奖励基金项目
关键词 模糊模型 不确定非线性系统 鲁棒D镇定 D-稳定性 鲁棒控制 隶属度函数 D stability Takagi Sugeno fuzzy model robust control uncertain nonlinear system
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参考文献6

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同被引文献26

  • 1周武能,苏宏业,褚健.不确定T-S模型的D-域极点约束鲁棒控制[J].控制与决策,2005,20(1):46-50. 被引量:4
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