Model Predictive Control

Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model de

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Éditeur :

Springer


Paru le : 2018-08-14

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Description

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. 
Pages
137 pages
Collection
n.c
Parution
2018-08-14
Marque
Springer
EAN papier
9789811300820
EAN PDF
9789811300837

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
3564 Ko
Prix
94,94 €
EAN EPUB
9789811300837

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
6021 Ko
Prix
94,94 €

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