Name: Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications (en Inglés)
SKU: 58419252
Price: 59.29 USD
Availability: InStock
Author: Prodan, Ionela ; Stoican, Florin ; Olaru, Sorin
ISBN: 9783319269931

portada Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications (en Inglés)

Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

107

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.6 cm

Peso

0.18 kg.

ISBN13

9783319269931

Categorías

Cibernética y teoría de sistemas
Cálculo
Ingeniería de control automático

Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications (en Inglés)

Sorin Olaru (Autor) · Florin Stoican (Autor) · Ionela Prodan (Autor) · Springer · Tapa Blanda

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Reseña del libro "Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications (en Inglés)"

In this book, the authors propose efficient characterizations of the non-convex regions that appear in many control problems, such as those involving collision/obstacle avoidance and, in a broader sense, in the description of feasible sets for optimization-based control design involving contradictory objectives. The text deals with a large class of systems that require the solution of appropriate optimization problems over a feasible region, which is neither convex nor compact. The proposed approach uses the combinatorial notion of hyperplane arrangement, partitioning the space by a finite collection of hyperplanes, to describe non-convex regions efficiently. Mixed-integer programming techniques are then applied to propose acceptable formulations of the overall problem. Multiple constructions may arise from the same initial problem, and their complexity under various parameters - space dimension, number of binary variables, etc. - is also discussed.This book is auseful tool for academic researchers and graduate students interested in non-convex systems working in control engineering area, mobile robotics and/or optimal planning and decision-making.