Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control
Christian Kirches
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Description for Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control
Paperback. Series: Advances in Numerical Mathematics. Num Pages: 387 pages, 64 black & white illustrations, 40 black & white tables, biography. BIC Classification: PB; UGK. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 23. Weight in Grams: 559.
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.
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.
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
387
Condition
New
Series
Advances in Numerical Mathematics
Number of Pages
367
Place of Publication
Weisbaden, Germany
ISBN
9783834815729
SKU
V9783834815729
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Christian Kirches
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.
Reviews for Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control
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.” (Gábor Szederkényi, Mathematical Reviews, January, 2015)