Synchronization of Neural Networks with Time-Varying Delays by Decentralized Linear Feedback
Zhongsheng Wang, Yanjun Liang · 2009
The paper aims to present a synchronization scheme for a class of time-varying neural networks, which covers the Hopfield neural networks and cellular neural networks. By using of the Lyapunov stability theorem, a novel delay-independent and decentralized linear-feedback control law is designed to achieve the exponential synchronization. It's exponential synchronization conditions can be verified. The controllers can be more easily designed than that obtained. Hopfield neural networks with time-varying delays are given to show the effectiveness of the presented synchronization scheme.