引用本文:贾新春,张静梅,李宏峰,郑南宁.Takagi-Sugeno模糊连续系统的模糊采样控制[J].控制理论与应用,2007,24(1):69~74.[点击复制]
JIA Xin-chun,ZHANG Jing-mei ,LI Hong-feng,ZHENG Nan-ning.Fuzzy sampled-data control forTakagi-Sugeno continuous-time fuzzy systems[J].Control Theory and Technology,2007,24(1):69~74.[点击复制]
Takagi-Sugeno模糊连续系统的模糊采样控制
Fuzzy sampled-data control forTakagi-Sugeno continuous-time fuzzy systems
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DOI编号  10.7641/j.issn.1000-8152.2007.1.012
  2007,24(1):69-74
中文关键词  T-S模糊系统  模糊采样控制  线性矩阵不等式(LMI)方法  镇定
英文关键词  T-S fuzzy systems  fuzzy sampled-data control  linear matrix inequality (LMI) approach  stabilization
基金项目  国家创新研究群体科学基金资助项目 60024301;山西省自然科学基金资助项目 20051032, 20041001
作者单位
贾新春,张静梅,李宏峰,郑南宁 1. 山西大学数学科学学院,山西太原030006
2. 西安交通大学人工智能与机器人研究所,陕西西安710049 
中文摘要
      研究了T-S模糊连续系统的模糊采样控制问题. 利用广义系统的描述方法、 Lyapunov-Krasovikii泛函以及线性矩阵不等式(LMI)方法, 建立了LMIs形式的依赖于采样时间间隔的模糊采样镇定条件, 同时给出了模糊采样控制律的设计方法. 所设计的模糊采样控制律可以镇定T-S模糊系统. 而且, 当连续时间模糊控制律可以镇定T-S模糊系统时, 对于足够小的采样时间间隔, 带有同样增益矩阵的 模糊采样控制律也可以镇定T-S模糊系统. 最后, 通过两个仿真实例说明了所给方法的有效性.
英文摘要
      The fuzzy sampled-data control problem for Takagi-Sugeno(T-S) continuous-time fuzzy systems is discussed in this paper. A linear matrix inequalities (LMIs) condition for fuzzy sampled-data stabilization of T-S fuzzy systems is established via descriptor system approach and Lyapunov-Krasovikii function, as well as the LMI approach. The design methods of such fuzzy sampled-data control law which can stabilize T-S fuzzy systems, are simultaneously given. Moreover, when a continuous-time fuzzy controller can stabilize the T-S fuzzy systems, the corresponding fuzzy sampled-data controller with the same gain matrices can stabilize such T-S fuzzy systems for any small enough sampling intervals. Finally,two design examples are given to demonstrate the effectiveness of our design methods.