Finite-time boundedness filtering for discrete-time Markovian jump system subject to partly unknown transition probabilities

被引：24

作者：

Zhong, Qishui ^{[1
,2
]}

Bai, Jinping ^{[1
]}

Wen, Bin ^{[1
]}

Li, Shujun ^{[3
]}

Zhong, Fuli ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Sichuan, Peoples R China

[2] China Zhenhua Elect Grp Co Ltd, Guiyang 550018, Guizhou, Peoples R China

[3] Sinowatt Dongguan Ltd, Dongguan 523696, Guangdong, Peoples R China

来源：

ISA TRANSACTIONS | 2014年 / 53卷 / 04期

基金：

中国博士后科学基金;

关键词：

H-infinity finite-time stability; Time-varying transition probability; Markovian jump system; H-infinity control; OUTPUT-FEEDBACK CONTROL; H-INFINITY CONTROL; NEURAL-NETWORKS; VARYING DELAYS; EXPONENTIAL STABILITY; NONLINEAR-SYSTEMS; SINGULAR SYSTEMS; STABILIZATION; SYNCHRONIZATION;

D O I：

10.1016/j.isatra.2014.03.015

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 finite-time boundedness filtering for discrete-time Markovian jump system subject partly unknown transition probabilities. By using the multiple Lyapunov function approach, a novel sufficient condition for finite-time bounded of H-infinity filtering is derived and the system trajectory stays within a prescribed bound during a specified time interval. Finally, an example is provided to illustrate the usefulness and effectiveness of the proposed method. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：1107 / 1118

页数：12

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