Synchronization of semi-Markov coupled neural networks with impulse effects and leakage delay

• Published in: Neurocomputing (Amsterdam) Vol. 386; pp. 221 - 231
• Main Authors: Karthick, S.A., Sakthivel, R., Alzahrani, Faris, Leelamani, A.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 21.04.2020
• Subjects: Coupled neural networks; Impulse effect; Memory state feedback controller; Resilient control; Resilient control; Impulse effect; Coupled neural networks; Memory state feedback controller
• ISSN: 0925-2312; 1872-8286
• DOI: 10.1016/j.neucom.2019.12.097

This paper examines the robust synchronization problem for a class of coupled neural networks in mean-square sense subject to semi-Markov jump, outer coupling, leakage and time-varying delay through a resilient memory state feedback controller, wherein the effect of impulse strategy is considered in the system design. Particular, impulsive perturbation and leakage delay are incorporated in the system model cannot be neglected since they make huge impact on the stability behaviour. By endowing Lyapunov’s direct method, a newest set of necessary conditions is enhanced in the form of linear matrix inequalities (LMIs) which guarantee that the addressed system can realize synchronization criterion. Based on these obtained LMIs, the explicit characterization of the designed controller is retrieved interms of linear matrix inequalities by using the convex optimization algorithm. Eventually, the analytical design are voiced by a numerical example which substantiate the superiority and efficiency of the proposed control design strategy.