Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control / by Christian Kirches.

Format:

Book

Author/Creator:

Kirches, Christian, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Wiley-Teubner series, advances in numerical mathematics 1616-2994

Advances in Numerical Mathematics, 1616-2994

Language:

English

Subjects (All):

Computer simulation.

Mathematics.

Simulation and Modeling.

Mathematics, general.

Local Subjects:

Simulation and Modeling.

Mathematics, general.

Physical Description:

1 online resource (XX, 367 pages) : 64 illustrations.

Edition:

First edition 2011.

Contained In:

Springer eBooks

Place of Publication:

Wiesbaden : Vieweg+Teubner Verlag : Imprint: Vieweg+Teubner Verlag, 2011.

System Details:

text file PDF

Summary:

Current industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a demanding challenge. Starting with Bock's direct multiple shooting method for optimal control, Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding. In a sequential quadratic programming framework, extensive exploitation of arising structures in an active set method ultimately brings the developed algorithm towards real-time feasibility.

Other Format:

Printed edition:

ISBN:

978-3-8348-8202-8

9783834882028

Access Restriction:

Restricted for use by site license.