editors, Maurizio Falcone, Roberto Ferretti, Lars Grüne and William M. McEneaney.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2018]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Springer INdAM series,
Volume Designation
volume 29
ISSN of Series
2281-5198 ;
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
1 M. Assellaou and A. Picarelli, A Hamilton-Jacobi-Bellman approach for the numerical computation of probabilistic state constrained reachable sets -- 2. A. Britzelmeier, A. De Marchi, and M. Gerdts, An iterative solution approach for a bi-level optimization problem for congestion avoidance on road networks -- 3 S. Cacace, R. Ferretti, and Z. Rafiei, Computation of Optimal Trajectories for Delay Systems: an Optimize-Then-Discretize Strategy for General-Purpose NLP Solvers -- 4 L. Mechelli and S. Volkwein, POD-Based Economic Optimal Control of Heat-Convection Phenomena -- 5 A. Alla and V. Simoncini, Order reduction approaches for the algebraic Riccati equation and the LQR problem -- 6 F. Durastante and S. Cipolla, Fractional PDE constrained optimization: box and sparse constrained problems -- 7 M.C. Delfour, Control, Shape, and Topological Derivatives via Minimax Differentiability of Lagrangians -- 8 A.J. Krener, Minimum Energy Estimation Applied to the Lorenz Attractor -- 9 M. Akian and E. Fodjo, Probabilistic max-plus schemes for solving Hamilton-Jacobi-Bellman equations -- 10 P.M. Dower, An adaptive max-plus eigenvector method for continuous time optimal control problems -- 11 W. Mc Eneaney and R. Zhao, Diffusion Process Representations for a Scalar-Field Schr·odinger Equation Solution in Rotating Coordinates.
0
SUMMARY OR ABSTRACT
Text of Note
The volume 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 measures of their performance. The field was created in the 1960's, in response to the pressures of the "space race" between the US and the former USSR, but it now has a far wider scope and embraces a variety of areas ranging from process control to traffic flow optimization, renewable resources exploitation and financial market management. These emerging applications require increasingly efficient numerical methods to be developed for their solution - a difficult task due the huge number of variables. Providing an up-to-date overview of several recent methods in this area, including fast dynamic programming algorithms, model predictive control and max-plus techniques, this book is intended for researchers, graduate students and applied scientists working in the area of control problems, differential games and their applications.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030019594
OTHER EDITION IN ANOTHER MEDIUM
Title
Numerical methods for optimal control problems.
International Standard Book Number
9783030019587
TOPICAL NAME USED AS SUBJECT
Control theory, Congresses.
Control theory.
TECHNOLOGY & ENGINEERING-- Engineering (General)
(SUBJECT CATEGORY (Provisional
GPFC
GPFC
TEC-- 009000
DEWEY DECIMAL CLASSIFICATION
Number
629
.
8312
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA402
.
3
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Falcone, Maurizio
Ferretti, Roberto, (Mathematician)
Grüne, Lars,1967-
McEneaney, William M.
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
Numerical Methods for Optimal Control Problems (Conference)(2017 :, Rome, Italy)