Dynamic output feedback controller design for affine T-S fuzzy systems with quantized measurements

被引：17
|
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：
ISA TRANSACTIONS | 2016年 / 64卷
关键词：
Affine T-S fuzzy systems; Dynamic output feedback control; Quantized measurement; S-procedure; PIECEWISE LYAPUNOV FUNCTIONS; DISCRETE-TIME-SYSTEMS; LINEAR-SYSTEMS; MATRIX INEQUALITY; NONLINEAR-SYSTEMS; STABILIZATION; STABILITY; MODEL; LMI; IDENTIFICATION;
D O I：
10.1016/j.isatra.2016.06.007
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 investigates the problem of dynamic output feedback control for affine T-S fuzzy systems with quantized measurements. By using the S-procedure, the unmatched regions between the plant and the controller caused by quantization errors are considered in control synthesis. A novel piecewise dynamic output feedback control design is presented, which reduces the worst case peak output due to quantization errors and guarantees an H-infinity-normbound constraint. In contrast to the existing results, the derived design condition leads to better steady-state performance and less computational burden. Numerical examples are given to show the superiority and effectiveness of the new method. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.
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页码：202 / 215
页数：14
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