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Estimation Problems in Hybrid Systems

$35.00 USD

  • Date Published: January 2005
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511035357

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  • 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.

    • Gives full derivations for useful control and estimation algorithms
    • Gives many practical examples of implementation from several different engineering fields
    • Frequently compares hybrid estimation techniques to alternative approaches
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    Product details

    • Date Published: January 2005
    • format: Adobe eBook Reader
    • isbn: 9780511035357
    • contains: 89 b/w illus. 8 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • 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.

  • Authors

    David D. Sworder, University of California, San Diego

    John E. Boyd, Cubic Defense Systems

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