A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control

This article deals with the problem of sampled-data-based synchronization of neural networks with and without considering time delay. A novel looped functional is introduced in the construction of Lyapunov functional, which adequately utilizes the state information of e(t_{k}) , e(t) , e(t_{k+1})...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2022-01, Vol.33 (1), p.406-415
Hauptverfasser:	Zeng, Hong-Bing, Zhai, Zheng-Liang, Yan, Huaicheng, Wang, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological neural networks Control systems Delay effects Delays Information processing Linear matrix inequalities Looped functional Mathematical analysis Neural networks Neurons sampled data Symmetric matrices Synchronism Synchronization time delay
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