Exponential synchronization of chaotic neural networks with time-varying delay via intermittent output feedback approach

Zhi-Ming Zhang, Yong He, Min Wu and Qing-Guo Wang

Applied Mathematics and Computation, 2017, vol. 314, issue C, 121-132

Abstract: This paper is dealt with the problem of exponential synchronization for chaotic neural networks with time-varying delay by using intermittent output feedback control. Based on the Lyapunov–Krasovskii functional method and the lower bound lemma for reciprocally convex technique, a novel criterion for existence of the controller is first established to ensure synchronization between the master and slave systems. Moreover, from the delay point of view, the derived criterion is extended to the relaxed case because of introducing an adjustable parameter in the Lyapunov–Krasovskii functional. Finally, a numerical simulation is carried out to demonstrate the effectiveness of the proposed synchronization law.

Keywords: Exponential synchronization; Neural networks; Time-varying delay; Lyapunov–Krasovskii functional; Intermittent output feedback control (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:314:y:2017:i:c:p:121-132

DOI: 10.1016/j.amc.2017.07.019

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