Model Predictive Control

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Éditeur :

Wiley-IEEE Press


Collection :

IEEE Press

Paru le : 2024-03-19

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Description
Model Predictive Control
Understand the practical side of controlling industrial processes
Model Predictive Control (MPC) is a method for controlling a process according to given parameters, derived in many cases from empirical models. It has been widely applied in industrial units to increase revenue and promoting sustainability. Systematic overviews of this subject, however, are rare, and few draw on direct experience in industrial settings.
Assuming basic knowledge of the relevant mathematical and algebraic modeling techniques, the book’s title combines foundational theories of MPC with a thorough sense of its practical applications in an industrial context. The result is a presentation uniquely suited to rapid incorporation in an industrial workplace.
Model Predictive Control readers will also find: Two-part organization to balance theory and applications Selection of topics directly driven by industrial demand An author with decades of experience in both teaching and industrial practice
This book is ideal for industrial control engineers and researchers looking to understand MPC technology, as well as advanced undergraduate and graduate students studying predictive control and related subjects.
Pages
304 pages
Collection
IEEE Press
Parution
2024-03-19
Marque
Wiley-IEEE Press
EAN papier
9781119471394
EAN PDF
9781119471424

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
5642 Ko
Prix
125,23 €
EAN EPUB
9781119471318

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
26522 Ko
Prix
125,23 €