Synchronization of decentralized event-triggered uncertain switched neural networks with two additive time-varying delays
Articles
Rajarathinam Vadivel
Thiruvalluvar University / Phuket Rajabhat University
https://orcid.org/0000-0002-1385-5345
M. Syed Ali
Thiruvalluvar University
https://orcid.org/0000-0003-3747-3082
Faris Alzahrani
King Abdulaziz University
https://orcid.org/0000-0002-5496-0491
Jinde Cao
Southeast University
Young Hoon Joo
Kunsan National University
https://orcid.org/0000-0002-4662-1916
Published 2020-03-02
https://doi.org/10.15388/namc.2020.25.16512
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Keywords

event-triggered scheme
switched neural networks
Lyapunov–Krasovskii functional
exponential stability
average dwell time

How to Cite

Vadivel R., Syed Ali M., Alzahrani F., Cao J. and Joo Y. H. (2020) “Synchronization of decentralized event-triggered uncertain switched neural networks with two additive time-varying delays”, Nonlinear Analysis: Modelling and Control, 25(2), pp. 183–205. doi: 10.15388/namc.2020.25.16512.

Abstract

This paper addresses the problem of synchronization for decentralized event-triggered uncertain switched neural networks with two additive time-varying delays. A decentralized eventtriggered scheme is employed to determine the time instants of communication from the sensors to the central controller based on narrow possible information only. In addition, a class of switched neural networks is analyzed based on the Lyapunov–Krasovskii functional method and a combined linear matrix inequality (LMI) technique and average dwell time approach. Some sufficient conditions are derived to guarantee the exponential stability of neural networks under consideration in the presence of admissible parametric uncertainties. Numerical examples are provided to illustrate the effectiveness of the obtained results. 

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