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Metaheuristic Optimization for the Design of Automatic Control Laws



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Wiley-ISTE


Paru le : 2013-09-03



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Description

The classic approach in Automatic Control relies on the use of simplified models of the systems and reformulations of the specifications. In this framework, the control law can be computed using deterministic algorithms. However, this approach fails when the system is too complex for its model to be sufficiently simplified, when the designer has many constraints to take into account, or when the goal is not only to design a control but also to optimize it. This book presents a new trend in Automatic Control with the use of metaheuristic algorithms. These kinds of algorithm can optimize any criterion and constraint, and therefore do not need such simplifications and reformulations.
The first chapter outlines the author's main motivations for the approach which he proposes, and presents the advantages which it offers. In Chapter 2, he deals with the problem of system identification. The third and fourth chapters are the core of the book where the design and optimization of control law, using the metaheuristic method (particle swarm optimization), is given. The proposed approach is presented along with real-life experiments, proving the efficiency of the methodology. Finally, in Chapter 5, the author proposes solving the problem of predictive control of hybrid systems.
Pages
144 pages
Collection
n.c
Parution
2013-09-03
Marque
Wiley-ISTE
EAN papier
9781848215900
EAN PDF
9781118796481
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
144
Taille du fichier
3011 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €
EAN EPUB
9781118796511
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
144
Taille du fichier
2550 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €

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