Passivity analysis for discrete-time neural networks with mixed time-delays and randomly occurring quantization effects

This paper investigates the passivity analysis problem for a class of discrete-time neural networks subject to the mixed time-delays and randomly occurring quantization effects. Both the time-varying discrete delays and the infinite distributed time-delays are considered. The phenomenon of randomly...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 216; S. 657 - 665
Hauptverfasser:	Zhang, Jie, Ma, Lifeng, Liu, Yurong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 05.12.2016
Schlagworte:	Discrete-time neural networks Linear matrix inequality Mixed time delays Passivity Randomly occurring quantization effects Discrete-time neural networks Linear matrix inequality Passivity Randomly occurring quantization effects Mixed time delays
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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