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OverviewFull Product DetailsAuthor: Qiongxia Yu , Ting Lei , Fengchen Tian , Zhongsheng HouPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2023 Volume: 8 Weight: 0.553kg ISBN: 9789811988561ISBN 10: 9811988560 Pages: 206 Publication Date: 18 February 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1: Introduction.- Chapter 2 Predictive Learning Control for Unknown Systems.- Chapter 3 Constrained Predictive Learning Control.- Chapter 4 Predictive Learning Control for Systems with Varying Trial Lengths .- Chapter 5 Predictive Learning Control for Systems with Unknown Time Delay.- Chapter 6 Predictive Learning Control for Systems with Full Available States.- Chapter 7 Predictive Learning Control for Systems with Unavailable States.- Chapter 8 High-Speed Train Automatic Operation Systems.- Chapter 9 Fundamental Two-Region Urban Road Networks.- Chapter 10 Complex Large-Scale Multi-Region Urban Traffic Systems.- Chapter 11 Conclusions.ReviewsAuthor InformationQiongxia Yu received the B.E. and M.E. degrees from Henan Polytechnic University, Jiaozuo, China, in 2009 and 2012, respectively, and the Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2017. She is currently Lecturer in Henan Polytechnic University. Dr. Yu has published over 20 peer-reviewed journals and conference proceedings. She was awarded the first prize in Natural Science Academic Award of Henan Province in 2021. Her current research interests include learning control, data-driven control, predictive control, and their applications in transportation systems. Ting Lei received the B.E. degree from Zhengzhou University, Zhengzhou, China, in 2012, and the Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2020. He is currently Lecturer in Zhengzhou University of Light Industry. Dr. Lei has published 9 peer-reviewed journals and conference proceedings. His current research interests include data-driven control, model free adaptive control, predictive control, and their applications in urban transportation systems. Fengchen Tian received the B.E. degree in Electrical engineering and automation from Wanjiang University of Technology, Ma’anshan, China, in 2019, where he is currently pursuing the M.E. degree in School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China. His research interests include data-driven control and learning control. Zhongsheng Hou received the B.E. and M.E. degrees from Jilin University of Technology, Changchun, 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 Distinguished Professor and Head of Department of Automatic Control. Currently, he is Chair Professor at Qingdao University, Qingdao, China. Prof. Hou is Founding Director of the Technical Committee on Data Driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation. He is International Federation of Automatic Control Technical Committee Member of both adaptive and learning systems and transportation systems. He is Fellow of both IEEE and Chinese Association of Automation (CAA). Dr. Hou has authored over 400 peer-reviewed journals and conference proceedings and two monographs. His research interests include data-driven control, learning control, and intelligent transportation systems. Xuhui Bu received the B.E. and M.E. degrees from Henan Polytechnic University, Jiaozuo, China, in 2004 and 2007, respectively, and the Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2011. He is currently Professor in Henan Polytechnic University. Dr. Bu has authored over 90 peer-reviewed journals and conference proceedings. He was supported by Program for Central Plains Top Young Talents of Henan Province in 2019. His current research interests are mainly related to data-driven control, iterative learning control, traffic control, and networked system control. Tab Content 6Author Website:Countries AvailableAll regions |
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