非线性时变时延系统的模糊采样最优控制
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  • 英文篇名:Fuzzy sampled-data optimal control for nonlinear systems with timevarying delay
  • 作者:曲子芳 ; 杜贞斌
  • 英文作者:QU Zi-fang;DU Zhen-bin;College of Mathematics and Information Science, Shandong Technology and Business University;School of Computer Science and Control Engineering, Yantai University;
  • 关键词:T-S模糊系统 ; 采样控制 ; 时变时延 ; 最优控制
  • 英文关键词:T-S fuzzy system;;sampled-data control;;time-varying delay;;optimal control
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:山东工商学院数学与信息科学学院;烟台大学计算机与控制工程学院;
  • 出版日期:2017-09-28 07:01
  • 出版单位:控制与决策
  • 年:2018
  • 期:v.33
  • 基金:山东省自然科学基金项目(ZR2017MF019,2016GGX109004,ZR2014FL023)
  • 语种:中文;
  • 页:KZYC201811021
  • 页数:4
  • CN:11
  • ISSN:21-1124/TP
  • 分类号:152-155
摘要
针对非线性时变时延系统,采用输入时延和自由权重矩阵方法研究模糊采样最优控制问题.应用T-S模糊系统表征非线性系统,控制器是零阶保持采样信号.由线性矩阵不等式给出最优控制准则,所设计的模糊采样控制器在闭环系统渐近稳定意义下可保证期望最优控制性能.最后,通过卡车拖车系统实验验证模糊采样控制设计方案的可行性.
        This paper is concerned with a fuzzy sampled-data optimal control problem of nonlinear systems with timevarying delay by employing the input delay and free-weighting matrix approach. The Takagi-Sugeno(T-S) fuzzy system is used to represent the nonlinear systems, and the control input is a zero-order hold sampled-data signal. A linear matrix inequalities(LMIs)-based optimal control criterion is obtained, and a fuzzy sampled-data controller is designed for the system, which ensures that the optimal performance is achieved in the sense that the closed-loop system is asymptotically stable. A computer simulated truck-trailer system is given to illustrate the effectiveness of the fuzzy sampled-data control design.
引文
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