Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010128127 | TJ216 S96 1999 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
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 |