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Beschreibung
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.
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 23. Dezember 2018 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 248 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811343261 |
| Auflage | Softcover reprint of the original 1st ed. 2019 |
| Seiten | 137 |
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