Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach

被引：80

作者：

Su, Xiaojie ^{[1
]}

Wen, Yao ^{[1
]}

Shi, Peng ^{[2
,3
]}

Lam, Hak-Keung ^{[4
]}

机构：

[1] Chongqing Univ, Coll Automat, Key Lab Complex Syst Safety & Control, Minist Educ, Chongqing 400044, Peoples R China

[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia

[3] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 8001, Australia

[4] Kings Coll London, Dept Informat, London WC2B 4BG, England

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2019年 / 27卷 / 06期

基金：

澳大利亚研究理事会; 中国国家自然科学基金;

关键词：

Fuzzy filter; fuzzy systems; H-2; filtering; reduced-order approach; SINGULARLY PERTURBED SYSTEMS; POLE-PLACEMENT CONSTRAINTS; FAULT-DETECTION FILTER; H-INFINITY; NEURAL-NETWORKS; DESIGN;

D O I：

10.1109/TFUZZ.2018.2874015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with the problem of general-ized H-2 reduced-order filter design for continuous Takagi-Sugeno fuzzy systems using an event-triggered scheme. For a continuous Takagi-Sugeno fuzzy dynamic system, a reduced-order filter is designed to transform the original model into a linear lower order one. This filter can also approximate the original system with H-2 performance, with a new type of event-triggered scheme used to decrease the communication loads and computation resources within the network. By transforming the filtering problem to a convex optimization one, conditions are presented to design the fuzzy reduced-order filter. Finally, two illustrative examples are used to verify the feasibility and applicability of the proposed design scheme.

引用

页码：1215 / 1225

页数：11

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