Synchronization control of stochastically coupled neural networks with mized time-delays
This paper is concerned with the synchronization control problem of an array of linearly stochastically coupled identical neural networks with discrete and distributed time-delays. Both the discrete and distributed time-delays terms are introduced to model a more realistic dynamical behavior of systems in practice, besides the stochastic coupling term. By utilizing the Lyapunov-Krasovskii functional method and linear matrix inequality (LMI) approach, several new criterions are derived to ensure the synchronization of the system studied in this paper. Meanwhile, on the basis of the stable conditions of the error system, the estimation gains of the novel delayed feedback controller can be obtained. Simulation examples are provided to present the effectiveness of the theoretical results.
Synchronization Stochastic coupling Discrete and distributed time-delays Lyapunov-Krasovskii functional Global asymptotic stability
Xiaozheng Mou Wuneng Zhou Lin Pan Qingyu Zhu
College of Information Science and Technology, Donghua University, Shanghai 201620, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3156-3161
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）