Synchronization Control for Chaotic Neural Networks with Mixed Delays Under Input Saturations

摘要

This paper is concerned with the exponential synchronization problem for chaotic neural networks with discrete and distributed delays under input saturations. Attention is focused on the design of saturated feedback controller such that the synchronization error system is locally exponentially stable. Based on delay-dependent sector conditions and augmented Lyapunov–Krasovskii functionals, sufficient conditions are established in the framework of linear matrix inequalities. Moreover, the optimization problems are proposed to maximize the estimate of the domain of attraction. Finally, two simulation examples show the effectiveness and benefit of the obtained results.