Estimation Problems in Hybrid Systems

by David D. Sworder, John E. Boyd

Overview

Recent developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This volume presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a maneuvering aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background. They then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the chapters they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practicing engineers involved in the design of estimation, tracking or wireless communications systems.

Product Details

ISBN-13:	9780521024525
Publisher:	Cambridge University Press
Publication date:	03/09/2006
Edition description:	First Edition
Pages:	296
Product dimensions:	6.69(w) x 9.61(h) x 0.63(d)

Table of Contents

List of illustrations; 1. Hybrid estimation; 2. The polymorphic estimator (PME); 3. Situation assessment; 4. Image-enhanced target tracking; 5. Hybrid plants with base-state discontinuities; 6. Mode-dependent observations; 7. Control of hybrid systems; 8. Target recognition and prediction; 9. Hybrid estimation using measure changes; Appendices; Bibliography; Index; Glossary.