Overview
- Provides recent results and state-of-the-art in nonholonomic motion planning
- Includes the description of a complete algorithm
- It is a crash course on first-order theory in sub-Riemannian geometry
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
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About this book
Nonholonomic systems are control systems which depend linearly on the control. Their underlying geometry is the sub-Riemannian geometry, which plays for these systems the same role as Euclidean geometry does for linear systems. In particular the usual notions of approximations at the first order, that are essential for control purposes, have to be defined in terms of this geometry. The aim of these notes is to present these notions of approximation and their application to the motion planning problem for nonholonomic systems.
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Table of contents (3 chapters)
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Front Matter
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Back Matter
Reviews
“The main objective of the book under review is to introduce the readers to nonholonomic systems from the point of view of control theory. … the book is a concise survey of the methods for motion planning of nonholonomic control systems by means of nilpotent approximation. It contains both the theoretical background and the explicit computational algorithms for solving this problem.” (I. Zelenko, Bulletin of the American Mathematical Society, Vol. 53 (1), January, 2016)
“This book is nicely done and provides an introduction to the motion planning problem and its associated mathematical theory that should be beneficial to theorists in nonlinear control theory. The exposition is concise, but at the same time clear and carefully developed.” (Kevin A. Grasse, Mathematical Reviews, August, 2015)
Authors and Affiliations
Bibliographic Information
Book Title: Control of Nonholonomic Systems: from Sub-Riemannian Geometry to Motion Planning
Authors: Frédéric Jean
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-3-319-08690-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-08689-7Published: 30 July 2014
eBook ISBN: 978-3-319-08690-3Published: 17 July 2014
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: X, 104
Number of Illustrations: 1 illustrations in colour
Topics: Systems Theory, Control, Differential Geometry, Artificial Intelligence, Mathematics, general, Computer Science, general