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Estimation Problems in Hybrid Systems

$43.99 (C)

  • Date Published: March 2006
  • availability: Available
  • format: Paperback
  • isbn: 9780521024525

$ 43.99 (C)
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  • Recent developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This volume presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a maneuvering 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. They then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the chapters 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 practicing 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: March 2006
    • format: Paperback
    • isbn: 9780521024525
    • length: 296 pages
    • dimensions: 244 x 170 x 16 mm
    • weight: 0.47kg
    • contains: 89 b/w illus. 8 tables
    • availability: Available
  • 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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