Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

Author:   Ridong Zhang ,  Anke Xue ,  Furong Gao
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2019
ISBN:  

9789811343261


Pages:   137
Publication Date:   23 December 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model


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Overview

This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering. 

Full Product Details

Author:   Ridong Zhang ,  Anke Xue ,  Furong Gao
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2019
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789811343261


ISBN 10:   9811343268
Pages:   137
Publication Date:   23 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Ridong Zhang received his Ph.D. in control science and engineering from Zhejiang University, Hangzhou, China, in 2007. From 2007 to 2015, he was a full professor at the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, and since 2015 he has been a visiting professor at the Chemical and Biomolecular Engineering Department, Hong Kong University of Science and Technology, Hong Kong. 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. Anke Xue received his Ph.D. in control science and engineering from Zhejiang University, Hangzhou, China, in 1997. He is currently a full professor at the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou and the president of Hangzhou Dianzi University. He has published more than 50 journal papers in the fields of robust controland complex systems. His research interests include control theory and applications. Furong Gao received his B.Eng. degree in automation from China University of Petroleum, China, in 1985 and his M.Eng. and Ph.D. degrees in chemical engineering from McGill University, Montreal, Canada in 1989 and 1993, respectively. He was a senior research engineer at Moldflow International Company Ltd. Since 1995, he has worked at Hong Kong University of Science and Technology, where he is currently a chair professor at the Department of Chemical and Biomolecular Engineering. His research interests include process monitoring and control, as well as polymer processing.

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