数学学科学术报告(杨鑫松 重庆师范大学)

发布者:段玉玲   发布时间:2018-01-02  浏览次数:81

题目:Synchronization of Delayed Memristive Neural Networks: Robust Analysis Approach


报告人:杨鑫松(教授重庆师范大学)


摘要:This talk considers the asymptotic and finite-time synchronization of drive-response memristive neural networks (MNNs) with time-varying delays.  It is known that the parameters of MNNs are state-dependent, and hence the traditional robust control and analytical techniques cannot be directly applied.  This difficulty is overcome by using the concept of Filippov solution. However, the special characteristics of MNNs may lead to unexpected parameter mismatch issue when different initial conditions are chosen. Based on a new robust control design, the mismatching issue is solved. Sufficient conditions are derived to guarantee the asymptotic synchronization of the considered MNNs with delays, which may be less conservative than synchronization criterion obtained by using existing methods. Moreover, without using the existing finite-time stability theorem, finite-time synchronization of the MNNs with delays is also introduced.


报告时间:15日上午830-900

报告地点:20幢四楼第一会议室


报告人简介:杨鑫松,教授,硕士导师,2011年破格晋升为教授,访问过东南大学、香港城市大学、香港大学、香港理工大学,是美国数学评论的评论员以及20多个SCI刊物的审稿人,是SCI刊物Neural Processing Letters的编辑(AE),全国复杂网络会议专业委员会委员(从14届开始)2016年获江苏省科学技术奖二等奖,排名第32017年获重庆市优秀论文1篇。目前发表科研论文85篇(第一作者70多篇),被引用2000多次,单篇最高引用170多次,H-index指数26(被引用20次及以上),其中他引总次数进入全球前1%的论文8篇(ESI),发表的杂志包括SIAM Journal on Control and Optimization, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and  Systems –I, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Automatic ControlIEEE Transactions on CyberneticsInternational Journal of Robust and Nonlinear Control等国际著名杂志(均为第一作者)。正在主持国家自然科学基金面上项目1项,主持完成多项国家级和省级项目。研究领域包括:复杂网络的同步与控制,右端不连续系统的稳定与控制,时滞随机微分方程的稳定性与控制,脉冲系统及其控制等。



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