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多链接随机复杂网络的指数稳定化
时间:2018年11月15日 20:27 点击数:

报告人:李文学

报告地点:数学与统计学院317室

报告时间:2018年11月22日星期四10:00-11:00

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报告摘要:

This paper is concerned with the exponential stabilization problem for multi-links complex networks with Markovian switching topologies (MCNMSTs). It is worth emphasizing that the topological structure of multi-links complex networks is Markovian switching and each switching subnetwork is not required to contain a directed spanning tree or to be strongly connected. Moreover, a new type of periodically intermittent discrete-time state observations control (PIDSOC), which means the control is feedback control based on discrete-time state observations during the control time in a control period, is first proposed for the stabilization purpose. By using Lyapunov method and graph theory, some sufficient conditions are established to ensure the exponential stabilization of MCNMSTs. Meanwhile, some corollaries are shown when PIDSOC becomes feedback control based on discrete-time state observations. In addition, our theoretical results are used to discuss exponential stabilization of stochastic coupled oscillators and a sufficient criterion is derived. Finally, a numerical example is given to verify the applicability and effectiveness of the obtained theoretical results.

主讲人简介:

李文学,男,副教授,博士生导师。工作于哈尔滨工业大学(威海)数学系。研究方向为随机微分方程稳定性理论。现感兴趣的问题:时变耦合系统,多扩散耦合系统,平衡状态的稳定性,周期解存在性,周期解全局吸引性,生态系统的全局性质,电力系统稳定性控制,微网系统。近三年,在IEEE Transactions on Neural Networks and Learning systems,Journal of Dynamics and Differential Equations,International Journal of Robust Nonlinear Control 等杂志发表论文10余篇。

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