Estimation Problems in Hybrid Systems

By John E. Boyd and David D. Sworder

Book Overview

Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety of nonlinear plants. Several applications are studied, including tracking a manoeuvring 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 and then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the book, 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 practising engineers involved in the design of estimation, tracking or wireless communications systems.

• Format: Paperback
• Language: English
• ISBN: 0521024528
• ISBN13: 9780521024525
• Release Date: March 2006
• Publisher: Cambridge University Press
• Length: 296 Pages
• Weight: 1.05 lbs.
• Dimensions: 0.6" x 6.7" x 9.6"