Estimation Problems in Hybrid Systems
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A guide to how diverse sensors can be integrated to create enhanced controllers and estimators in a variety of situations.Recent 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 comm...
A guide to how diverse sensors can be integrated to create enhanced controllers and estimators in a variety of situations.
Recent 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.
Recent 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.
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