Stabilization of oscillating neural networks with time-delay by intermittent control
Stabilization of oscillating neural networks with time-delay by intermittent control
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DOI：
10.1007/s12555-011-0607-3
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发表时间：
2011-12
期刊：
影响因子：
--
通讯作者：
Chao Liu;Chuandong Li;Shukai Duan
中科院分区：
文献类型：
--
作者：
Chao Liu;Chuandong Li;Shukai Duan
本文研究了时滞振荡神经网络的指数镇定问题。利用李雅普诺夫函数和矩阵不等式分析技术，建立了受控神经网络的指数稳定性判据。本文的结果使我们能够合理地估计控制参数的可行控制域。数值例子也表明了我们所提出的结果的有效性。
In this paper, we study the exponential stabilization of oscillating neural networks with time-delay through the process called intermittent control. Some exponential stability criteria for the controlled neural networks are established by Lyapunov function and matrix inequality analysis technique. The present results allow us to estimate legitimately the feasible control region of control parameters. Numerical example is also given to show the effectiveness of our proposed results.