报告题目：Input-to-output stability, state estimation, and convergence conditions for Persidskii systems

报告人简介:

梅文杰现为法国国家信息与自动化研究所博士生，导师为Denis Efimov,目前主要开展关于Persidskii systems的输入输出稳定性条件、状态估计、收敛条件等一系列研究；2019年获日本奈良先端科学技术大学院大学情报科学（信息学）硕士学位，期间曾在IEEE Transactions on Circuits and Systems II: Express Briefs、IET Control Theory & Applications等期刊发表论文。曾获中国CSC公派、日本政府机构JASSO奖学金，是2018、2019年IET杰出审稿人。研究兴趣包括：非线性系统、随机系统控制、复杂网络。

摘要:

In this talk, we study a class of generalized Persidskii systems with external disturbances and establish conditions, in the form of linear matrix inequalities, for input-to-output stability (IOS), robust synchronization, state estimations, and convergence conditions for these systems. The obtained results are applied to some widely investigated scenarios, e.g., the synchronization of Hindmarsh–Rose models of neurons, and the convergence of Lotka-Volterra models.  

会议时间：2021/01/20 16:00-17:00 (GMT+08:00)

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会议 ID：356 691 794

会议密码：123456