Function projective synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays.

作者: Abdujelil Abdurahman , Haijun Jiang , Kaysar Rahman

DOI: 10.1007/S11571-015-9352-2

关键词: Function (mathematics)Artificial neural networkMemristorControl theoryOpen-loop controllerDifferential equationRealization (systems)Projective synchronizationComputer scienceSynchronization (computer science)Theoretical computer science

摘要: This paper deals with the problem of function projective synchronization for a class memristor-based Cohen–Grossberg neural networks time-varying delays. Based on theory differential equations discontinuous right-hand side, some novel criteria are obtained to realize addressed by combining open loop control and linear feedback control. As special cases, several strategies given ensure realization complete synchronization, anti-synchronization stabilization considered network. Finally, numerical example its simulations provided demonstrate effectiveness results.

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