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物理学报 2008
Adaptive projective synchronization and parameter identification of a class of delayed chaotic neural networks
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Abstract:
This paper deals with the adaptive projective synchronization problem of a class of delayed neural networks. Based on Lyapunov stability theory, a new control method is proposed to achieve parameter identification and projective synchronization simultaneously. Numerical simulations were conducted to verify the effectiveness of this method.