作者: Abdujelil Abdurahman , Haijun Jiang , Kaysar Rahman
DOI: 10.1007/S11571-015-9352-2
关键词: Function (mathematics) 、 Artificial neural network 、 Memristor 、 Control theory 、 Open-loop controller 、 Differential equation 、 Realization (systems) 、 Projective synchronization 、 Computer science 、 Synchronization (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.