Control and Dynamic Systems V19 - 1st Edition - ISBN: 9780120127191, 9780323152532

Control and Dynamic Systems V19

1st Edition

Advances in Theory and Applications

Editors: C.T. Leonides
eBook ISBN: 9780323152532
Imprint: Academic Press
Published Date: 28th June 1983
Page Count: 392
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Description

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 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.

Table of Contents


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

Details

No. of pages:
392
Language:
English
Copyright:
© Academic Press 1983
Published:
Imprint:
Academic Press
eBook ISBN:
9780323152532

About the Editor

C.T. Leonides