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Book Details

Control Theoretic Splines : Optimal Control, Statistics, and Path Planning


By MAGNUS EGERSTEDT (Author), CLYDE MARTIN (Author)
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Price : $81.00  $64.80
ISBN : 9780691132969  
Page : 232
Year of Publication : 2009    Edition : 1
Publisher : PRINCETON UNIVERSITY PRESS
Subject : MATHEMATICS & STATISTICS



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Description :

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.



Magnus Egerstedt is associate professor of electrical and computer engineering at Georgia Institute of Technology. Clyde Martin is the P. W. Horn Professor of Mathematics and Statistics at Texas Tech University.

Content :

Preface

Chapter 1 Introduction

Chapter 2 Control Systems and Minimum Norm Problems

Chapter 3 Eight Fundamental Problems

Chapter 4 Smoothing Splines and Generalizations

Chapter 5 Approximations and Limits Concepts

Chapter 6 Smoothing Splines with Continuous Data

Chapter 7 Monotone Smoothing Splines

Chapter 8 Smoothing Splines as Integral Filters

Chapter 9 Optimal Transfer Between Affine Varieties

Chapter 10 Path Planning and TelemetryChapter 11 Node Selection

Bibliography

index

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