l2-l∞ Filtering for Discrete Time-Delay Markovian Jump Neural Networks

被引：0
|
作者：
Zhou, Jianping [1 ,2 ]
Wang, Zhen [4 ]
Yuan, Deming [1 ]
Shen, Hao [3 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Anhui Univ Technol, Sch Comp Sci, Maanshan 243002, Peoples R China
[3] Anhui Univ Technol, Sch Elect Engn & Informat, Maanshan 243002, Peoples R China
[4] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266510, Peoples R China
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2012年 / 88卷 / 1B期
基金：
中国国家自然科学基金;
关键词：
Neural networks; l(2)-l(infinity) filtering; Time-varying delays; Transition probabilities; LINEAR-SYSTEMS; H-INFINITY; STABILITY; STATE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper considers the l(2)-l(infinity) filter problem for discrete time-delay Markovian jump neural networks. Attention is focused on the design of a reduced-order filter to guarantee stochastic stability and a prescribed l(2)-l(infinity) performance for the filtering error system. In terms of linear matrix inequalities (LMIs), a delay-dependent sufficient condition for the solvability of the addressed problem is presented. When these LMIs are feasible, an explicit expression for the desired reduced-order filter is given. A numerical example is provided to show the effectiveness of the proposed results.
引用
收藏
页码：96 / 100
页数：5
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