Control Theoretic Splines : : Optimal Control, Statistics, and Path Planning / / Clyde Martin, Magnus Egerstedt.

• Superior document: Title is part of eBook package: De Gruyter Princeton Series in Applied Mathematics eBook-Package
• VerfasserIn: Egerstedt, Magnus,; Martin, Clyde,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2009]; ©2010
• Year of Publication: 2009
• Edition: Course Book
• Language: English
• Series: Princeton Series in Applied Mathematics ; 29
• Physical Description: 1 online resource (232 p.) :; 31 line illus.
• Other title: Frontmatter --; Contents --; Preface --; Chapter One. Introduction --; Chapter Two. Control Systems and Minimum Norm Problems --; Chapter Three. Eight Fundamental Problems --; Chapter Four. Smoothing Splines and Generalizations --; Chapter Five. Approximations and Limiting Concepts --; Chapter Six. Smoothing Splines with Continuous Data --; Chapter Seven. Monotone Smoothing Splines --; Chapter Eight. Smoothing Splines as Integral Filters --; Chapter Nine. Optimal Transfer between Affine Varieties --; Chapter Ten. Path Planning and Telemetry --; Chapter Eleven. Node Selection --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781400833870; 9783110515831; 9783110442502
• DOI: 10.1515/9781400833870
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Clyde Martin, Magnus Egerstedt.

Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added. This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.