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Pratap Anbalagan,Raja Ramachandran,Jinde Cao,Grienggrai Rajchakit,Chee Peng Lim 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
In this article, we explore the theoretical issues on the drive-response synchronization of a class of fractionalorder uncertain complex valued neural networks (FOUCNNs) with mixed time varying delays and impulses. Based upon the contraction mapping principle, robust analysis techniques, as well as Riemann-Liouville (R-L)derivative, we derive a new set of novel sufficient conditions for the existence and uniqueness of equilibrium pointof such neural network system, while by applying the Lyapunov functional approach, the global stability of theequilibrium solutions are obtained. Furthermore, the synchronization criterion of FOUCNNs is also attracted bymeans of the adaptive error feedback control strategy. Finally, two examples are provided along with the simulationresults to demonstrate the effectiveness of our main proofs.