Piecewise controller design for affine fuzzy systems via dilated linear matrix inequality characterizations

被引:25
|
作者
Wang, Huimin [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China
关键词
Affine fuzzy systems; Stabilizability; Slack variable; Linear matrix inequalities (LMIs); State feedback; STABILITY ANALYSIS; LMI; ILMI;
D O I
10.1016/j.isatra.2012.06.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the problem of state feedback controller design for a class of nonlinear systems, which are described by continuous-time affine fuzzy models. A convex piecewise affine controller design method is proposed based on a new dilated linear matrix inequality (LMI) characterization, where the system matrix is separated from Lyapunov matrix such that the controller parametrization is independent of the Lyapunov matrix. In contrast to the existing work, the derived stabilizability condition leads to less conservative LMI characterizations and much wider scope of the applicability. Furthermore, the results are extended to H-infinity state feedback synthesis. Finally, two numerical examples illustrate the superiority and effectiveness of the new results. (c) 2012 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:771 / 777
页数:7
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