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Synchronization of Delayed Chaotic Neural Networks by LMI

机译:LMI延迟混沌神经网络的同步

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摘要

In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system andthe response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation shows the effectiveness of this nonlinear control scheme.
机译:在本文中,讨论了具有时变延迟的混沌神经网络的指数同步。基于Lyapunov稳定性理论和线性矩阵不等式(LMI),设计了非线性反馈控制方案以使驱动系统和响应同步。获得的充足条件是LMI的形式,更容易验证。此外,数值模拟显示了该非线性控制方案的有效性。

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