Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control

Häftad, Engelska, 2011

Del i serien Advances in Numerical Mathematics

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2011-09-15
Mått:148 x 210 x 21 mm
Vikt:501 g
Format:Häftad
Språk:Engelska
Serie:Advances in Numerical Mathematics
Antal sidor:367
Upplaga:2011
Förlag:Springer Fachmedien Wiesbaden
ISBN:9783834815729

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Matematik inom Naturvetenskap och teknik

Mer om författaren

Dr. Christian Kirches is a postdoctoral researcher in the simulation and optimization group at the chair of Professor Dr. Dr. h.c. Hans Georg Bock at the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University.

Recensioner i media

From the book reviews: "The book under review gives a useful introduction and presents valuable new contributions in this topic. ... The material is very clearly written and certain parts ... may well support graduate education. The targeted audience of the book is applied mathematicians and engineers." (Gabor Szederkenyi, Mathematical Reviews, January, 2015)

Innehållsförteckning

The Direct Multiple Shooting Method for Optimal Control - Mixed-Integer Optimal Control - Constrained Nonlinear Programming - Mixed-Integer Real-Time Iterations - Outer Convexification of Constraints - A Nonconvex Parametric SQP Method - Linear Algebra for Block Structured QPs - Updates for the Block Structured Factorization