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Control and Dynamic Systems V19
Advances in Theory and Applications
- 1st Edition - November 14, 2012
- Editor: C.T. Leonides
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 3 1 4 5 1 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 5 2 5 3 - 2
Volume 19: Nonlinear and Kalman Filtering Techniques, Part 1 of 3 covers the advances in the techniques and technology of nonlinear filters and Kalman filters. The book provides a… Read more
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Request a sales quoteVolume 19: Nonlinear and Kalman Filtering Techniques, Part 1 of 3 covers the advances in the techniques and technology of nonlinear filters and Kalman filters. The book provides a comprehensive treatment of the theory and applications of nonlinear filters and Kalman filters. Chapters are devoted to the discussion of the exact and approximate state estimation techniques for nonlinear dynamic systems; computational efficiencies in the various approaches to filtering techniques; the implementation of filters by the use of microprocessors and distributed processor systems; and practical means for dealing with nonlinearities. Engineers, economists, seismologists, meteorologists, and communications experts will find this book a good reference material.
Contents Contributors Preface Contents of Previous Volumes Exact and Approximate State Estimation Techniques for Nonlinear Dynamic Systems I. General Introduction II. State Estimation for Discrete Time-Delayed Systems with Additive White Noise III. State Estimation for Discrete Time-Delayed Systems with Correlated Noise IV. Nonlinear Estimation for Discrete Time-Delayed Systems with Colored Noise V. State Estimation for Nonlinear Distributed-Parameter Systems (DPS) Involving Multiple Delays VI. Exact and Approximate Minimum-Variance Filtering for Nonlinear Continuous Systems VII. Conclusions References Synthesis and Performance of Bayesian Estimators 1. Introduction II. Quality of Bayesian Estimators in Open Loop III. Asymptotic Behavior of Bayesian Estimators in Closed Loop IV. Duality between Robust Control and Bayesian Identification V. Numerical Examples Appendix References Advances in Computational Efficiencies of Linear Filtering Leonard Chin The Purpose I. Introduction II. System Model, Notations, and Conventions III. Algorithm Descriptions IV. Computer Burdens V. Conclusion Appendix References Design of Real-Time Estimation Algorithms for Implementation in Microprocessor and Distributed Processor Systems I. Introduction II. Programming for Real-Time Distributed Systems III. Control of Real-Time Processes IV. Algorithmic and Procedural Issues in Design of Real-Time Estimators V. Decomposition of a Kalman Filter into Concurrent Processes VI. Summary and Conclusions Appendix I Appendix II Appendix III References Global Approximation for Nonlinear Filtering with Application to Spread Spectrum Ranging I. Introduction II. Organization III. Some Global Approximations for Nonlinear Filtering and Their Applications Appendix References Index
- No. of pages: 392
- Language: English
- Edition: 1
- Published: November 14, 2012
- Imprint: Academic Press
- Paperback ISBN: 9780124314511
- eBook ISBN: 9780323152532
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