Overview
- Is the first book focusing on stabilization and fault-tolerant control of batch processes using two-dimensional models
- Introduces the average-dwell-time methods in the controller design of multi-phase batch processes for the first time
- Provides technologies and algorithms that are helpful both for theoretical development and for industrial applications
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
Reviews
Authors and Affiliations
About the authors
Ridong Zhang received his Ph.D. degree in control science and engineering from Zhejiang University in 2007. From 2007 to 2015, he was a professor at the Institute of Information and Control, Hangzhou Dianzi University. Since 2015, he has been a visiting professor at the Chemical and Biomolecular Engineering Department, the Hong Kong University of Science and Technology. He has published more than 40 journal papers in the fields of process modeling and control. His research interests include process modeling, model predictive control, and nonlinear systems.
Furong Gao received his B.Eng. degree in automation from the China University of Petroleum in 1985 and M. Eng. and Ph.D. degrees in chemical engineering from McGill University, Canada, in 1989 and 1993 respectively. He worked as a senior research engineer at Moldflow International Company Ltd. Since 1995, he has been working at the Hong Kong University of Science and Technology, where he is currently the chair professor in the Department of Chemical and Biomolecular Engineering. His research interests include process monitoring, control and polymer processing.
Bibliographic Information
Book Title: Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Authors: Limin Wang, Ridong Zhang, Furong Gao
DOI: https://doi.org/10.1007/978-981-13-5790-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-13-5789-3Published: 26 March 2019
eBook ISBN: 978-981-13-5790-9Published: 18 March 2019
Edition Number: 1
Number of Pages: X, 323
Number of Illustrations: 8 b/w illustrations, 58 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Communications Engineering, Networks, Computer Communication Networks, Calculus of Variations and Optimal Control; Optimization