Improved Results on Passivity Analysis of Uncertain Neural Networks with Time-Varying Discrete and Distributed Delays

被引:56
作者
Chen, Yonggang [1 ]
Li, Wenlin [2 ]
Bi, Weiping [2 ]
机构
[1] Henan Inst Sci & Technol, Dept Math, Xinxiang 453003, Peoples R China
[2] Henan Normal Univ, Coll Math & Informat Sci, Xinxiang 453007, Peoples R China
关键词
Passivity analysis; Uncertain neural networks; Time-varying discrete and distributed delays; Linear matrix inequalities (LMIs); GLOBAL ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; DEPENDENT STABILITY; SYSTEMS; CRITERION;
D O I
10.1007/s11063-009-9116-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can be easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.
引用
收藏
页码:155 / 169
页数:15
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