期刊文献+

基于T-S双线性模型的非线性关联大系统的分散控制 被引量:2

Decentralized control for time-delay nonlinear interconnected systems based on T-S bilinear model
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摘要 对一类由Takagi-Sugeno(T-S)双线性模型描述的非线性关联大系统,研究了其分散状态反馈控制问题.根据Lyapunov稳定性分析理论和并行分布补偿(PDC)算法,导出了闭环关联大系统渐近稳定的充分条件,该条件比现有结果具有更小的保守性.设计出了相应的分散模糊控制器,并将其转化成为一个受线性矩阵不等式(LMIs)约束的凸优化问题.最后,通过仿真例子验证了所提方法的有效性. The decentralized state feedback control problem is studied for a nonlinear interconnected systems which is composed by a number of Takagi-Sugeno(T-S)fuzzy bilinear subsystems with interconnections.Based on the Lyapunov criterion and the parallel distribution compensation scheme,the stabilization sufficient conditions are derived for the whole close-loop fuzzy interconnected systems,which have less conservativeness than the existing methods.The corresponding decentralized fuzzy controller design is converted into a convex optimization problem with linear matrix inequality(LMIs)constraints.Finally,a simulation example shows the effectiveness of the proposed approach.
出处 《武汉大学学报(工学版)》 CAS CSCD 北大核心 2010年第4期541-544,共4页 Engineering Journal of Wuhan University
基金 国防基金科研项目(编号:C0520061364)
关键词 非线性关联大系统 分散控制 线性矩阵不等式 T-S模糊双线性模型 nonlinear interconnected system decentralized control linear matrix inequality T-S fuzzy bilinear model
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参考文献12

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共引文献15

同被引文献21

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