Robust Iterative Learning Control of Industrial Batch Systems
暫譯: 工業批次系統的穩健迭代學習控制

Tao Liu received the Ph.D. degree in Control Science and Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2006. He is a Professor at the Institute of Advanced Control Technology, Dalian University of Technology, Dalian, China. His research interests include industrial process measurement by infrared spectroscopy & imaging, system identification & modeling, control system design, process control, batch process optimization, and data-driven control. He published more than 200 research papers and two monographs. He serves as an associate editor of IEEE Transactions on Industrial Informatics, editorial board member of International Journal of Control, member of the Technical Committee on Chemical Process Control of IFAC, Technical Committee on System Identification and Adaptive Control of the IEEE Control System Society, Technical Committees of Control Theory and Process Control of Chinese Association of Automation. He won the Best Paper Prize of the Journal of Process Control (2020-2022) awarded by International Federation of Automatic Control (IFAC).

Shoulin Hao received his Ph.D degree in Control Theory and Control Engineering from Dalian University of Technology, Dalian, China, in 2018. He is an associate professor with the Institute of Advanced Measurement & Control Technology, Dalian University of Technology, Dalian, China. His research interests include industrial process control, iterative learning control and data-driven control. He published more than 40 research papers and coauthored one monograph.

Youqing Wang received the B.S. degree in Mathematics from Shandong University in 2003, and the Ph.D. degree in Control Science and Engineering from Tsinghua University in 2008. He worked chronologically at Hong Kong University of Science and Technology, China; University of California, Santa Barbara, USA; University of Alberta, Canada; Shandong University of Science and Technology; City University of Hong Kong, China. He is currently a Professor at the Beijing University of Chemical Technology. His research interests include the control performance evaluation theory, the state and fault estimation theory, and the intelligent state monitoring theory. He served as the editor or guest editor of nine international SCI journals and worked part-time in many important international academic organizations, including membership in three technical committees of International Federation of Automatic Control (IFAC) and four professional committees of the Chinese Association of Automation (CAA). He is a recipient of several honors and awards, including IET Fellow, NSFC Distinguished Young Scientists Fund, Journal of Process Control Survey Paper Prize, and ADCHEM2015 Young Author Prize. He is also the first Chinese scholar to win the "Journal of Process Control Best Paper Prize" awarded by IFAC.

Dewei Li received the B.S. degree and the Ph.D. degree in Automation from Shanghai Jiao Tong University, Shanghai, China, in 1993 and 2009, respectively. He worked as a Postdoctor Researcher with Shanghai Jiaotong University from 2009 to 2010. Now he is a Professor at the Department of Automation at Shanghai Jiao Tong University. He is also an Associate Editor of the IFAC journal, Control Engineering Practice. His research interests focus on complex system optimization control, industrial intelligent systems, and intelligent robots. He has published over 300 academic papers in international journals, such as Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics, etc. He won the First Prize of Natural Science of the Chinese Association of Automation in 2016, the Second Prize of Chinese Natural Science Award in 2017, and the First Prize of Shanghai Science and Technology Progress in 2023.

劉濤於2006年獲得中國上海交通大學控制科學與工程博士學位。他是大連理工大學先進控制技術研究所的教授。他的研究興趣包括利用紅外光譜與成像進行工業過程測量、系統辨識與建模、控制系統設計、過程控制、批次過程優化以及數據驅動控制。他發表了超過200篇研究論文和兩部專著。他擔任《IEEE 工業資訊學報》的副編輯、《國際控制期刊》的編輯委員會成員、國際自動控制聯盟（IFAC）化學過程控制技術委員會成員、IEEE 控制系統學會系統辨識與自適應控制技術委員會成員，以及中國自動化學會控制理論與過程控制技術委員會成員。他獲得了國際自動控制聯盟（IFAC）頒發的《過程控制期刊》最佳論文獎（2020-2022）。

郝守林於2018年獲得中國大連理工大學控制理論與控制工程博士學位。他是大連理工大學先進測量與控制技術研究所的副教授。他的研究興趣包括工業過程控制、迭代學習控制和數據驅動控制。他發表了超過40篇研究論文並共同撰寫了一部專著。

王有清於2003年獲得山東大學數學學士學位，並於2008年獲得清華大學控制科學與工程博士學位。他曾先後在中國香港科技大學、美國加州大學聖巴巴拉分校、加拿大阿爾伯塔大學、山東科技大學和中國香港城市大學工作。目前他是北京化工大學的教授。他的研究興趣包括控制性能評估理論、狀態與故障估計理論以及智能狀態監測理論。他曾擔任九本國際SCI期刊的編輯或客座編輯，並在多個重要國際學術組織中兼任職務，包括國際自動控制聯盟（IFAC）的三個技術委員會和中國自動化學會（CAA）的四個專業委員會成員。他獲得了多項榮譽和獎項，包括IET Fellow、國自然科學基金優秀青年科學基金、《過程控制期刊》調查論文獎和ADCHEM2015青年作者獎。他也是第一位獲得IFAC頒發的《過程控制期刊最佳論文獎》的中國學者。

李德偉於1993年和2009年分別獲得中國上海交通大學自動化學士學位和博士學位。他於2009年至2010年在上海交通大學擔任博士後研究員。目前他是上海交通大學自動化系的教授，同時也是IFAC期刊《控制工程實踐》的副編輯。他的研究興趣集中在複雜系統優化控制、工業智能系統和智能機器人。他在國際期刊上發表了超過300篇學術論文，如《Automatica》、《IEEE 自動控制學報》、《IEEE 工業電子學報》等。他於2016年獲得中國自動化學會自然科學一等獎，2017年獲得中國自然科學獎二等獎，並於2023年獲得上海市科技進步一等獎。