Numerical Methods for Optimal Control Problems

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Éditeur :

Springer


Collection :

Springer INdAM Series

Paru le : 2019-01-26

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Description
This work presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems, in order to optimize some measure of their performance. Started in the 60's under the pressure of the "space race" between the US and the former USSR, the field now has a far wider scope, and embraces a variety of areas ranging from process control to traffic flow optimization, renewable resources exploitation and management of financial markets. These emerging applications require more and more efficient numerical methods for their solution, a very difficult task due the huge number of variables. The chapters of this volume give an up-to-date presentation of several recent methods in this area including fast dynamic programming algorithms, model predictive control and max-plus techniques. This book is addressed to researchers, graduate students and applied scientists working in the area of control problems, differential games  and their applications.

Pages
268 pages
Collection
Springer INdAM Series
Parution
2019-01-26
Marque
Springer
EAN papier
9783030019587
EAN PDF
9783030019594

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
7731 Ko
Prix
105,49 €
EAN EPUB
9783030019594

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
32164 Ko
Prix
105,49 €