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

被引:25
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
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
收藏
页码:1107 / 1118
页数:12
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