Global asymptotically stability of cellular neural networks with time-varying delay

A set of criteria is presented for the global asymptotically stability of delayed cellular neural networks by constructing suitable Lyapunov functionals, introducing many parameters and combining with the elementary inequality technique. Time-delay is frequently encountered in neural networks, and i...

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Bibliographische Detailangaben

Hauptverfasser:	Guozhuang Liang, Xueli Wu, Wenxia Du
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Asymptotic stability Cellular neural networks Delay delayed cellular neural networks (DCNNs) global asymptotically stability LMI Lyapunov functional Numerical stability Stability criteria
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