講座主題：Markovian Jump Control systems
專家姓名：Hamid Reza Karimi
工作單位：Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy
講座時間：2017年12月30日上午9:00-10:00
講座地點：數(shù)學(xué)與信息科學(xué)學(xué)院341
主辦單位：煙臺大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院
內(nèi)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.
主講人介紹：
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.
講座主題：具有動態(tài)性和稀疏性的隨機非線性系統(tǒng)變量選擇
專家姓名：趙文虓
工作單位：中國科學(xué)院
講座時間：2017年12月30日上午10:00-11:00
講座地點：數(shù)學(xué)與信息科學(xué)學(xué)院341
主辦單位：煙臺大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院
內(nèi)容摘要：
人們總希望能從表象下找到客觀規(guī)律、從復(fù)雜現(xiàn)象背后找到關(guān)鍵特征,，因此關(guān)鍵變量,、關(guān)鍵因素的選擇與提取成為其中的重要環(huán)節(jié)。如何貼合系統(tǒng)控制所關(guān)注對象的特點,，把系統(tǒng)和數(shù)據(jù)的稀疏性、動態(tài)性和非線性納入到這個問題中來,，我們針對有代表性的非線性ARX系統(tǒng)（線性ARX系統(tǒng),、Hammerstein 系統(tǒng)為其特例）來研究上述問題：首先考慮這類系統(tǒng)的非參數(shù)辨識，構(gòu)造遞推局部最小二乘算法并給出收斂性分析,，基于此,，對這類系統(tǒng)的變量選擇問題給出準(zhǔn)則函數(shù)并證明所得估計同時具有“參數(shù)收斂”和“ 集收斂”，相關(guān)理論方法已應(yīng)用于實際工程問題,。
主講人介紹：
趙文虓畢業(yè)于山東大學(xué),，在中國科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院獲得博士學(xué)位，現(xiàn)任中國科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院副研究員,。他的研究方向主要集中在隨機系統(tǒng)的建模與估計,，包括模塊化非線性系統(tǒng)的辨識與控制、動態(tài)隨機系統(tǒng)的階估計和變量選擇,，以及PageRank分布式隨機計算等與網(wǎng)絡(luò)相關(guān)的建模與優(yōu)化問題,。趙文虓目前擔(dān)任《系統(tǒng)科學(xué)與數(shù)學(xué)》編委、《控制理論與應(yīng)用》編委,、IEEE Control Systems Letters編委,，IEEE CSS Conference Editorial Board編委以及 IEEE CSS 北京分會秘書長等學(xué)術(shù)兼職。
