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学术预告-“Markovian Jump Control systems”“具有动态性和稀疏性的随机非线性系统变量选择”

发布时间: 2017-12-28 15:02:08   作者:本站编辑   来源: 本站原创   浏览次数:

讲座主题:Markovian Jump Control systems

专家姓名:Hamid Reza Karimi  

工作单位:Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy

讲座时间:2017年12月30日上午9:00-10:00

讲座地点:数学与信息科学学院341

主办单位:烟台大学数学与信息科学学院

内容摘要:

    The objective of this talk is to review some recent results on stability analysis for Markovian jump systems with a focus on advanced controller design strategy developments under complexities raised from the Markov parameter. The talk will present various examples and finally, some concluding remarks are provided.

主讲人介绍:

    Hamid Reza Karimi, born in 1976, received the B.Sc. (First Hons.) degree in power systems from the Sharif University of Technology, Tehran, Iran, in 1998, and the M.Sc. and Ph.D. (First Hons.) degrees in control systems engineering from the University of Tehran, Tehran, in 2001 and 2005, respectively. From 2009 to 2016 he was a professor of Mechatronics and Control Systems at University of Agder. Since 2016, he has been a professor of Applied Mechanics with the Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy. His current research interests include control systems and mechatronics with applications to automotive control systems and wind energy.

Prof. Karimi is currently the Editor-in-Chief of the Journal of Cyber-Physical Systems (Taylor & Francis), the Editor-in-Chief of the Journal of Machines (MDPI Switzerland), Editor-in-Chief of the Journal of Designs (MDPI Switzerland) and an Editorial Board Member for some international journals, such as the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, the IEEE TRANSACTIONS ON CIRCUIT AND SYSTEMS —I: REGULAR PAPERS, the IEEE/ASME TRANSACTIONS ON MECHATRONICS, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, Information Sciences, the IEEE ACCESS, IFAC-Mechatronics, Neurocomputing, the Asian Journal of Control, the Journal of The Franklin Institute, the International Journal of Control, Automation, and Systems, the International Journal of Fuzzy Systems, the International Journal of e-Navigation and Maritime Economy, and the Journal of Systems and Control Engineering. He is also a member of the IEEE Technical Committee on Systems with Uncertainty, the Committee on Industrial Cyber-Physical Systems, the IFAC Technical Committee on Mechatronic Systems, the Committee on Robust Control, and the Committee on Automotive Control. Prof. Karimi is a Senior Member of IEEE and awarded as the 2016 and 2017 Web of Science Highly Cited Researcher in Engineering.

 

讲座主题:具有动态性和稀疏性的随机非线性系统变量选择

专家姓名:赵文虓

工作单位:中国科学院

讲座时间:2017年12月30日上午10:00-11:00

讲座地点:数学与信息科学学院341

主办单位:烟台大学数学与信息科学学院

内容摘要:

    人们总希望能从表象下找到客观规律、从复杂现象背后找到关键特征,因此关键变量、关键因素的选择与提取成为其中的重要环节。如何贴合系统控制所关注对象的特点,把系统和数据的稀疏性、动态性和非线性纳入到这个问题中来,我们针对有代表性的非线性ARX系统(线性ARX系统、Hammerstein 系统为其特例)来研究上述问题:首先考虑这类系统的非参数辨识,构造递推局部最小二乘算法并给出收敛性分析,基于此,对这类系统的变量选择问题给出准则函数并证明所得估计同时具有“参数收敛”和“ 集收敛”,相关理论方法已应用于实际工程问题。

主讲人介绍:

    赵文虓毕业于山东大学,在中国科学院数学与系统科学研究院获得博士学位,现任中国科学院数学与系统科学研究院副研究员。他的研究方向主要集中在随机系统的建模与估计,包括模块化非线性系统的辨识与控制、动态随机系统的阶估计和变量选择,以及PageRank分布式随机计算等与网络相关的建模与优化问题。赵文虓目前担任《系统科学与数学》编委、《控制理论与应用》编委、IEEE Control Systems Letters编委,IEEE CSS Conference Editorial Board编委以及 IEEE CSS 北京分会秘书长等学术兼职。

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