UID:
almahu_9949225580802882
Format:
1 online resource (430 p.)
ISBN:
0-323-15072-1
Content:
Control and Dynamic Systems V20
Note:
Description based upon print version of record.
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Front Cover; Nonlinear and Kalman Filtering Techniques; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; CONTENTS OF PREVIOUS VOLUMES; Chapter 1. Separated - Bias Estimation and Some Applications; I. Introduction; II. Review of Theory; III. Extensions of Theory; IV. Fixed - lnterval Smoothing; V. Failure Detection and Estimation; VI. Additional Applications; VII. Conclusions; Appendix: Bias - Separation Theory for Discrete - Time Systems; References; Chapter 2. Techniques and Methodologies for the Estimation of Covariances, Power Spectra, and Filter - State Augmentation
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I. IntroductionII. Determination of Stationary Measurement; III. Weighting Funtions; IV. Test of Gaussian Distribution; V. Estimation of Covariances and Power Spectra; VI. Estimation of Linear Shaping Filter; VII. Conclusion; References; Chapter 3. Advanced Applications of Kalman Filters and Nonlinear Estimators in Aerospace Systems; I. Introduction; II. Prospective Filter Designs; III. Performance Analysis; IV. Use of Performance Analysis in Design; V. Example of Reduced-Order Linear Kalman Filter Design; VI. An Adaptive Extended Kalman Filter for Target-lmage Tracking; VII. Conclusion
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ReferencesChapter 4. Application of Model Switching and Adaptive Kalman Filtering for Aided Strapdown Navigation Systems; I. Introduction; II. The Technique of Model Switching for Strapdown Navigation Systems; III. Application of Adaptive Kalman Filtering for Aided Strapdown Navigation Systems; IV. Software Design for Error-Model Testing; V. Summary; References; Chapter 5. Use of Filtering and Smoothing Algorithms in the Analysis of MissiIe-System Test Data; I. Introduction; II. Ballistic Missile Guidance-System Evaluation Using Multiple Refrences; III. Validation of Filter/Smoother Models
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Appendix: Recursive Calculation of Data-Equation MatricsReferences; Chapter 6. Inertial Navigation System Error Model Considerations in Kalman Filter Applications; I. Introduction; II. Local-Level Coordinate System Navigation Equations; III. Coordinate Frames for Error-Model Development; IV. Error-Model Development; V. Relationship between Coordinate Frames; VI. Kalman Filter Modeling Considerations; VII. Conclusion; Appendix: Summary of Local-Level Navigation-Mechanization; References; Chapter 7. Comparisons of Nonlinear Recursive Filters for Systems with Nonnegligible Nonlinearities
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I. General IntroductionII. Comparisons of Continuous-Time Nonlinear Recursive Filters; III. Comparisons of Discrete-Time Nonlinear Recursive Filters; IV. Conclusions; References; INDEX
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English
Additional Edition:
ISBN 0-12-012720-2
Language:
English
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