Estimation Problems in Hybrid Systems

A guide to how diverse sensors can be integrated to create enhanced controllers and estimators in a variety of situations.

David D. Sworder (Author), John E. Boyd (Author)

9780521623209, Cambridge University Press

Hardback, published 28 October 1999

294 pages, 89 b/w illus. 8 tables
26.3 x 18.5 x 2.2 cm, 0.72 kg

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.

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.

Subject Areas: Electronics engineering [TJF]