Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control

This paper considers nonfragile exponential synchronization for complex dynamical networks (CDNs) with time-varying coupling delay. The sampled-data feedback control, which is assumed to allow norm-bounded uncertainty and involves a constant signal transmission delay, is constructed for the first ti...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2018-01, Vol.29 (1), p.118-128
Hauptverfasser:	Yajuan Liu, Bao-Zhu Guo, Park, Ju H., Sang-Moon Lee
Format:	Artikel
Sprache:	eng
Schlagworte:	Complex dynamical networks (CDNs) Control systems Coupling Couplings Delay Delays Feedback Feedback control Formulations Liapunov functions Linear matrix inequalities Mathematical analysis Matrix methods memory sampled-data control nonfragile synchronization Signal transmission Symmetric matrices Synchronism Synchronization time-varying coupling delay Uncertainty
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