Event-Triggered Non-PDC Filter Design of Fuzzy Markovian Jump Systems under Mismatch Phenomena

被引：5

作者：

Khanh Hieu Nguyen ^{[1
]}

Kim, Sung Hyun ^{[1
]}

机构：

[1] Univ Ulsan, Dept Elect Elect & Comp Engn, Daehak Ro 93, Ulsan 680749, South Korea

来源：

MATHEMATICS | 2022年 / 10卷 / 16期

基金：

新加坡国家研究基金会;

关键词：

event-triggered mechanism; mismatched fuzzy basis function; asynchronous mode; nonhomogeneous Markov process; relaxation technique; H-INFINITY-CONTROL; NONQUADRATIC STABILIZATION CONDITIONS; OBSERVER-BASED CONTROL; SLIDING MODE CONTROL; TRANSITION-PROBABILITIES; DISSIPATIVE CONTROL; NONLINEAR-SYSTEMS; UNCERTAINTY;

D O I：

10.3390/math10162917

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper focuses on dealing with the problem of co-designing a fuzzy-basis-dependent event generator and an asynchronous filter of fuzzy Markovian jump systems via event-triggered non-parallel distribution compensation (non-PDC) scheme. The introduction of the event-triggered non-PDC scheme can reduce the number of real-time filter gain design operations with a large computational load. Furthermore, to perform an effective relaxation process, several kinds of time-varying parameters in filter design conditions are simultaneously relaxed by utilizing two zero equalities of transition probabilities and mismatch errors. In addition, to improve the considered performance, the event generation function is established based on fuzzy-basis-dependent event weighting matrices.

引用

页数：25

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