Optimal State Estimation Kalman, H Infinity, and Nonlinear Approaches,9780471708582

Optimal State Estimation Kalman, H Infinity, and Nonlinear Approaches

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Edition: 1st
ISBN13: 9780471708582
ISBN10: 0471708585
Format: Hardcover
Pub. Date: 2006-06-23
Publisher(s): Wiley-Interscience
List Price: $190.34

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Summary

This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering.

Author Biography

DAN SIMON, PhD, is an Associate Professor at Cleveland State University. Prior to this appointment, Dr. Simon spent fourteen years working for such firms as Boeing, TRW, and several smaller companies.

Table of Contents

Acknowlwdgments.
Acronyms.
Introduction.
PART I: INTRODUCTORY MATERIAL.
1. Linear Systems Theory.
2. Probability Theory.
3. Least Squares Estimation.
4. Propagation of States and Covariances.
PART II: THE KALMAN FILTER.
5. The Discrete Time Kalman Filter.
6. Alternate Kalman Filter Formulations.
7. Kalman Filter Generalizations.
8. The Continuous Time Kalman Filter.
9. Optimal Smoothing.
10. Additional Topics in Kalman Filtering.
PART III: THE Hoo FILTERS.
11. The Hoo Filter.
12. Additional Topics in Hoo Filtering.
PART IV: NONLINEAR FILTERS.
13. Nonlinear Kalman Filtering.
14. The Unscented Kalman Filter.
15. The Particle Filter.
Appendix A: Historical Perspectives.
Appendix B: Other Books on Kalman Filtering.
Appendix C: State Estimation and the Meaning of Life.
References.
Topic Index.

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