Robust synchronization of uncertain chaotic neural networks with randomly occurring uncertainties and non-fragile output coupling delayed feedback controllers

This paper deals with the synchronization control problem for the uncertain chaotic neural networks with randomly occurring uncertainties and randomly occurring control gain fluctuations. By introducing an improved Lyapunov–Krasovskii functional and employing reciprocally convex approach, a delay-de...

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Veröffentlicht in:Nonlinear dynamics 2014-11, Vol.78 (3), p.2031-2047
Hauptverfasser: Vembarasan, V., Balasubramaniam, P., Chan, Chee Seng
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper deals with the synchronization control problem for the uncertain chaotic neural networks with randomly occurring uncertainties and randomly occurring control gain fluctuations. By introducing an improved Lyapunov–Krasovskii functional and employing reciprocally convex approach, a delay-dependent non-fragile output feedback controller is designed to achieve synchronization with the help of a drive–response system and the linear matrix inequality approach. Finally, numerical results and its simulations are given to show the effectiveness of the derived results.
ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-014-1586-8