Numerical Methods for Optimal Control Problems (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer INdAM Series, 29
Release date:	February 2019
First published:	2018
Editors:	Maurizio Falcone • Roberto Ferretti • Lars Grune • William M McEneaney
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	268
Edition:	1st ed. 2018
ISBN-13:	978-3-03-001958-7
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-03-001958-6
Barcode:	9783030019587

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