Model predictive control : approaches based on the extended state space model and extended non-minimal state space model / Ridong Zhang, Anke Xue, Furong Gao.
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 exten...
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| Main Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2019]
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xv, 137 pages) : illustrations (some colour) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9789811300820 9789811300837 9811300828 9811300836 |