东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (12): 1682-1685.DOI: -

• 论著 • 上一篇    下一篇

一类T-S模糊双线性关联大系统的鲁棒H_∞控制

宋睿卓;罗艳红;刘兆冰;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-12-15 发布日期:2013-06-22
  • 通讯作者: Song, R.-Z.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50977008,60774048)

Robust H control of a class of T-S fuzzy bilinear interrelated large-scale systems

Song, Rui-Zhuo (1); Luo, Yan-Hong (1); Liu, Zhao-Bing (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-12-15 Published:2013-06-22
  • Contact: Song, R.-Z.
  • About author:-
  • Supported by:
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摘要: 针对一类带有外界扰动输入的模糊双线性关联大系统给出鲁棒H∞模糊控制方法.首先采用T-S模糊模型构建模糊双线性模型,然后利用模糊双线性模型逼近一类关联大系统,并根据Lyapunov方法和并行分布补偿算法设计模糊控制器,最后以线性矩阵不等式(LMI)的形式给出在模糊控制器作用下系统满足H∞性能指标的充分条件.仿真例子验证了所提出模糊控制器的有效性和可行性.

关键词: 模糊双线性, 大系统, 并行分布补偿, 鲁棒H∞控制, LMI

Abstract: A robust fuzzy control of T-S fuzzy bilinear interrelated large-scale systems with exterior perturbation is presented. With the Takagi-Sugeno (T-S) fuzzy modeling technique used to develop a fuzzy bilinear model, both the direct Lyapunov method and parallel distributed compensation (PDC) method are employed to stabilize the fuzzy bilinear interrelated large-scale systems, then the sufficient condition is derived to satisfy the performance indices via linear matrix inequalities (LMI). Simulation results verified the feasiblity and effectiveness of the method proposed.

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