Springer Intelligent Optimization and Control of Complex Metallurgical Processes: 3 (Engineering Applications of Computational Methods, 3)

This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces; intelligent control of thermal state parameters in sintering processes; and intelligent decoupling control of gas collection and mixing-and-pressurization processes. The intelligent control and optimization methods presented were originally applied to complex metallurgical processes by the authors, and their effectiveness and their advantages have been theoretically proven and demonstrated practically. This book offers an up-to-date overview of this active research area, and provides readers with state-of-the-art methods for the control of complex metallurgical processes. From the Back Cover This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces; intelligent control of thermal state parameters in sintering processes; and intelligent decoupling control of gas collection and mixing-and-pressurization processes. The intelligent control and optimization methods presented were originally applied to complex metallurgical processes by the authors, and their effectiveness and their advantages have been theoretically proven and demonstrated practically. This book offers an up-to-date overview of this active research area, and provides readers with state-of-the-art methods for the control of complex metallurgical processes. About the Author Min Wu received his B.S. and M.S. degrees in engineering from Central South University, Changsha, China, in 1983 and 1986, respectively, and his Ph.D. degree in engineering from the Tokyo Institute of Technology, Tokyo, Japan, in 1999. He was a faculty member of the School of Information Science and Engineering at Central South University from 1986 to 2014 and was promoted to professor in 1994. In 2014, he moved to China University of Geosciences, Wuhan, China, where he is a professor in the School of Automation. He was a visiting scholar with the Department of Electrical Engineering, Tohoku University, Sendai, Japan, from 1989 to 1990, and a visiting research scholar with the Department of Control and Systems Engineering, Tokyo Institute of Technology, from 1996 to 1999. He was a visiting professor at the School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, Nottingham, UK, from 2001 to 2002. His current research interests include process control, robust control, and intelligent systems. Prof. Wu has published 6 monographs and more than 260 SCI-indexed papers. He has been included in the list of Thomson Reuters Highly Cited Researchers from 2014 to 2016. Due to his contributions on control theory and its engineering applications, he received numerous honors including the IFAC Control Engineering Practice Prize Paper Award in 1999 (jointly with M. Nakano and J. She), the second-class prize of China’s National Natural Science Award in 2014, the second-class prize of China’s National Science and Technology Progress Award in 2004, and the Academic Contribution Award of Chinese Process Control in 2009. Prof. Wu is a Fellow of IEEE, Vice-President of the Technical Committee on Control Theory, China Association of Automation, and an active member of the Technical Committee on Process Control, China Association of Automation. Moreover, he served as an Associate Editor of the editorial board of Control Engineering Practice, Information Sciences, International Journal of Automation and Computing, Control Theory and Applications, and Information and Control. Weihua Cao received the B.S., M.S., and Ph.D. degrees in engineering from Central South University, Changsha, China, in 1994, 1997, and 2007, respectively. He was a facu