Title :
Delay-dependent passivity criterion for Hopfield neural networks
Author :
Zhu, Jin ; Leng, Qiangkui ; Zhang, QingLing
Author_Institution :
Inst. of Syst. Sci., Northeastern Univ., Shenyang, China
Abstract :
In this paper, the problem of passivity for Hopfield neural networks with time-varying delay is investigated. Different from the others, the restriction that the derivative of time-varying delay be less than 1 is removed. The descriptor model transformation is used to ensure a less conservative criterion. The obtained passivity criterion is formulated in terms of linear matrix inequalities. Two numerical examples are given to illustrate the effectiveness of our methods.
Keywords :
Hopfield neural nets; delays; linear matrix inequalities; time-varying systems; Hopfield neural networks; delay-dependent passivity criterion; descriptor model transformation; linear matrix inequalities; time-varying delay; Cellular neural networks; Delay effects; Electronic mail; Hopfield neural networks; Laboratories; Linear matrix inequalities; Neural networks; Signal analysis; Stability analysis; Uncertainty; Delay-dependent; Hopfield neural networks; Linear matrix inequality; Passivity criterion;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498171
