New robust stability criteria for Markovian jump discrete-time neural networks with mode-dependent time delays

被引：1
|
作者：
Zhao, Xiaodong [1 ,2 ]
Li, Li [3 ]
机构：
[1] Hebei Univ Technol, Tianjin, Peoples R China
[2] Hebei Univ Sci & Technol, Shijiazhuang, Hebei, Peoples R China
[3] Hebei Univ Sci & Technol, Coll Sci, Shijiazhuang, Hebei, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
Robust stability; Discrete-time neural networks; Markovian jump parameters; Linear factional uncertainties; Mode-dependent time delays; Linear matrix inequalities (LMIs);
D O I：
10.1109/WCICA.2008.4594561
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the time-delay dependent robust stability problem is investigated for Markovian jump discrete-time neural networks with mode-dependent time delays. The jumping parameters are considered as discrete-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that less conservative results will be obtained than using norm-bounded parameter uncertainties. The delay factor depends on the mode of operation. All the results are cast into convenient linear matrix inequality(LMIs)forms. A numerical example is given to illustrate the effectiveness of the main results.
引用
收藏
页码：6138 / +
页数：2
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