Decentralized dynamic output feedback control for affine fuzzy large-scale systems with measurement errors

被引：16
作者：
Wang, Huimin [1 ]
Yang, Guang-Hong [1 ,2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2017年 / 314卷
关键词：
Fuzzy large-scale systems; Measurement errors; Decentralized control; Cyclic-small-gain condition; Linear matrix inequalities (LMIs); NONLINEAR INTERCONNECTED SYSTEMS; H-INFINITY CONTROL; CONTROL DESIGN; TIME-DELAY; MISSING MEASUREMENTS; MATRIX INEQUALITY; STABILITY;
D O I：
10.1016/j.fss.2016.06.002
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper investigates the decentralized output feedback control problem for affine fuzzy large-scale systems with unknown interconnections. A decentralized piecewise dynamic output feedback controller is constructed, and the measurement errors between actual outputs and measured outputs are considered in control synthesis. By introducing the S-procedure and a cyclic-small-gain condition, novel controller design conditions in terms of linear matrix inequalities (LMIs) are derived, which allow for reducing the worst case peak output due to measurement errors with satisfying an Lm-norm constraint. Finally, two examples are given to illustrate the effectiveness and superiority of the new results. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：116 / 134
页数：19
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