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Chaotic Synchronization of Delayed Neural Networks

机译:延迟神经网络的混沌同步

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In this paper, synchronization issue of a coupled time-delayed neural system with chaos is investigated. A sufficient condition for determining the exponential synchronization between the drive and response systems is derived via Lyapunov-Krasovskii stability theorem. Moreover, the synchronization thresholds of the coupled systems are estimated based on the proposed result. The effectiveness of our scheme is illustrated by numerical simulation.
机译:在本文中,研究了用混乱的耦合时间延迟神经系统的同步问题。用于确定驱动器和响应系统之间的指数同步的充分条件是通过Lyapunov-Krasovskii稳定性定理导出的。此外,基于所提出的结果估计耦合系统的同步阈值。通过数值模拟说明了我们方案的有效性。

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