ROBUST EXPONENTIAL STABILITY of CELLULAR NEURAL NETWORKS with MODE-DEPENDENT TIME DELAYS and MARKOVIAN JUMP PARAMETERS

被引：0
|
作者：
Qiu, Ji-Qing [1 ]
Lu, Kun-Feng [1 ]
Li, Jie [1 ]
机构：
[1] Hebei Univ Sci & Technol, Coll Sci, Shijiazhuang 050018, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Markovian jumping system; discrete-time system; mode-dependent time delays; robust exponential stability; SYSTEMS;
D O I：
10.1109/ICMLC.2009.5212560
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, we investigate the problem of global robust exponential stability for a class of cellular neural networks with mode-dependent time-varying delays and Markovian jump parameters by employing an improved free-weighting matrix approach. A new Markov process as discrete-time, discrete-state Markov process are considered. A mode-dependent time delays stability performance analysis result is first established for error systems without ignoring any terms in the derivative of Lyapunov functional by considering the relationship between the time-varying delay and its upper bound. Finally, one numerical example illustrate the effectiveness and less conservativeness of our proposed method
引用
收藏
页码：439 / 444
页数：6
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