講座編號：jz-yjsb-2021-y054
講座題目：系統(tǒng)科學(xué)學(xué)科建設(shè)系列專家講座：走進(jìn)青島大學(xué)系統(tǒng)科學(xué)學(xué)科
主 講 人：
侯忠生 教授、博導(dǎo) 青島大學(xué)自動化學(xué)院
林崇 教授、博導(dǎo) 青島大學(xué)自動化學(xué)院
車偉偉 教授、博導(dǎo) 青島大學(xué)自動化學(xué)院
講座時(shí)間：2021年12月11日（星期六）上午09:00
講座地點(diǎn)：騰訊會議（會議號：429-293-791）
參加對象：北京工商大學(xué)系統(tǒng)科學(xué)研究院、人工智能學(xué)院全體教師和研究生
主辦單位：北京工商大學(xué)系統(tǒng)科學(xué)研究院、人工智能學(xué)院、研究生院
主講人簡介：
Zhongsheng Hou (SM’13, F’20) received the B.S. and M.S. degrees from Jilin University of Technology, Jilin, China, in 1983 and 1988, respectively, and the Ph.D. degree from Northeastern University, Shenyang, China, in 1994. From 1997 to 2018, he was with Beijing Jiaotong University, Beijing, China, where he was a Distinguished Professor and the Founding Director of Advanced Control Systems Lab, and the Head of the Department of Automatic Control. He is currently a Chair Professor with Qingdao University, Qingdao, China. His research interests are in the fields of data-driven control, model-free adaptive control, learning control, and intelligent transportation systems. He has authored two monographs, Nonparametric Model and its Adaptive Control Theory, Science Press (in Chinese), 1999, and Model Free Adaptive Control: Theory and Applications, CRC Press, 2013. His pioneering work on model-free adaptive control has been verified in more than 200 different field applications, laboratory equipment and simulations with practical background, including wide-area power systems, lateral control of autonomous vehicles, temperature control of silicon rod.
Prof. Hou is the Founding Director of the Technical Committee on Data Driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation (CAA), and is a Fellow of CAA. Dr. Hou was the Guest Editor for two Special Sections on the topic of data-driven control of the IEEE Transactions on Neural Networks in 2011, and the IEEE Transactions on Industrial Electronics in 2017.
林崇，青島大學(xué)二級教授，山東省泰山學(xué)者。1999年南洋理工大學(xué)獲博士學(xué)位；曾在香港大學(xué)、新加坡國立大學(xué)、英國布魯奈爾大學(xué)、約翰內(nèi)斯堡大學(xué)做研究工作；2006年至今青島大學(xué)復(fù)雜性科學(xué)研究所從事教學(xué)科研工作。出版合作專著2部,合作發(fā)表SCI檢索論文160余篇。主持國家級、省部級科研項(xiàng)目6項(xiàng)，參與多項(xiàng)。獲省部級自然科學(xué)獎4項(xiàng)。2014年至今每年入選愛思唯爾中國高被引學(xué)者榜單，2018年至今每年入選科睿唯安“高被引科學(xué)家”名單。IEEE高級會員；擔(dān)任多本國內(nèi)外學(xué)術(shù)期刊的編委，如IJSS，JFI，《控制與決策》，《復(fù)雜系統(tǒng)與復(fù)雜性科學(xué)》等。
車偉偉，女，1980年4月生，青島大學(xué)自動化學(xué)院教授，博士，博士研究生導(dǎo)師。2008年7月獲得東北大學(xué)導(dǎo)航、制導(dǎo)與控制專業(yè)博士學(xué)位，2008年10月至2009年10月于新加坡南洋理工大學(xué)做博士后（Research Fellow），2015年1月至2015年4月在香港大學(xué)做訪問學(xué)者。2017年3月至2017年8月在國家自然科學(xué)基金委信息學(xué)部三處兼聘。山東省泰山學(xué)者青年專家計(jì)劃。遼寧省百千萬工程“千層次”；現(xiàn)為國際SCI雜志International Journal of Fuzzy Systems副主編。主持國家自然科學(xué)基金項(xiàng)目3項(xiàng)、主持國家自然科學(xué)基金聯(lián)合重點(diǎn)項(xiàng)目子課題1項(xiàng)、山東省重點(diǎn)項(xiàng)目1項(xiàng)，主持其它余省部級課題10余項(xiàng)；以第一作者及通信作者發(fā)表SCI論文50余篇。
主講內(nèi)容：
“How to design a control system with ability of utilizing data and knowledge?”講座：Professor R. E. Kalman was the founder and visionary leader of the field in modern control theory. His influence transcends well beyond system and control into diverse fields of engineering, mathematics, and others. However, there have been huge significant developments in science, engineering, technology, and society in the last few decades. It is clear that change will accelerate further in the coming decades. Thus, thinking about the relevance and framework of the control theory in post-Kalman under big data, IIoT or AI age, that might illuminate the path of the system and control research for the future. This talk includes five parts. Background of big data/IIoT/AI; Kalman’s Paradigm and its Challenges; Model free adaptive control (MFAC) and its ability of utilizing data and knowledge; Relationships between MFAC with adaptive control and PID; and Conclusion.
“幾類狀態(tài)空間系統(tǒng)的穩(wěn)定性分析及進(jìn)展”講座：在系統(tǒng)理論與控制理論領(lǐng)域，以狀態(tài)空間描述的動態(tài)系統(tǒng)依據(jù)各類特性可以劃分為眾多系統(tǒng)類型。本報(bào)告針對其中的兩類系統(tǒng)，即廣義系統(tǒng)和時(shí)滯系統(tǒng)，主要介紹系統(tǒng)穩(wěn)定性分析方法，匯報(bào)系統(tǒng)分析與鎮(zhèn)定方法的研究進(jìn)展，探討擴(kuò)展性研究問題及應(yīng)用。
“Data-Driven Security Control Against Network Attacks”講座：In practical systems, the accurate models are usually difficult to obtain with the development of the industrial technology. Therefore, data-driven control methods have attracted more and more attention in the big data era. In addition, while providing convenience, the wireless network channels used to transmit a large amount of system data will be maliciously attacked. Thus, the security problem is very important for data-driven control methods. This report focuses on the data-driven security control problem against two types of denial-of-service attacks for a class of nonlinear systems. At the same time, two kinds of attack compensation mechanism are presented to alleviate the influence of network attacks, respectively.