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Advances in algorithms and computational techniques in dynamic systems control Part 2 of 3

Author: Cornelius T Leondes
Publisher: San Diego : Academic Press, ©1988.
Series: Control and dynamic systems, v. 29.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Control and Dynamic Systems V29.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Advances in algorithms and computational techniques in dynamic systems control.
San Diego : Academic Press, ©1988
(DLC) 64008027
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Cornelius T Leondes
ISBN: 9780323162524 0323162525
OCLC Number: 849927671
Description: 1 online resource (xii, 312 pages :) : illustrations.
Contents: Front Cover; Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 2 of 3; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; Chapter 1. New Insights in the Numerical Reliability Properties of Existing Kalman Filter Implementations; I. Introduction; II. Notation and Preliminaries; III. Error Analysis of the Propagation of RoundOff Errors; IV. Error Analysis of the Propagation of Modeling Errors; V. Error Analysis of the Propagation of Discretization Errors; VI. Experimental Evaluation of the Different Kalman Filters. VII. Comparison of the Different FiltersVIII. Concluding Remarks; IX. Appendix A: Error Analysis of Some Basic Linear Algebra Problems; X. Appendix B: The Skew Householder Transformation; Acknowledgements; References; Chapter 2. Algorithms for System Fault Detection through Modeling and Estimation Techniques; I. Introduction; II. The Fault Detection Problem; III. Various Approaches to Fault Detection; IV. Failure Accommodation; V. Conclusions; References; Chapter 3. Arranging Computer Architectures to Create Higher-Performance Controllers; I. Introduction. II. Computer Architectures --
They're Not All the Same!III. Increasing the Power of the Host Computer; IV. Using Array Processors to Cut Computation Time; V. Using Different Computer Subsystems to Separate Real-Time Events from Non-Real-Time Events; VI. Using Intelligent Devices to Share the Real-Time Burden; VII. Using Intelligent Interfaces to Increase Communication Speeds; VIII. Application Example: Helicopter Controller Used to Suppress Vibration and to Augment Stability; IX. Concluding Remarks; References; Chapter 4. Computational Techniques in Angle-Only Tracking Filtering. I. IntroductionII. Observability of Single-Sensor Angle-Only Tracking; III. Angular Sensitivity; IV. Additional Information; V. Kalman Filters and Maneuvering Target-Tracking Techniques; VI. Some Other Useful AOT Filtering Techniques; VII. Discussion, Conclusion, and Further Research Topics; Acknowledgements; References; Chapter 5. Gradient Projection Methods for Systems Optimization Problems; I. Introduction; II. Unconstrained Variable Metric Gradient Methods; III. Ordinary Gradient Projection Methods; IV Two Metric Gradient Projection Methods. V. Newtonian Scaling for Optimal Control ProblemsReferences; Chapter 6. Optimal Control, Estimation, and Compensation of Linear Discrete-Time Systems with Stochastic Parameters; I. Introduction; II. Stability, Stabilization, and Detectability; III. Optimal Control; IV. Optimal Estimation; V. Optimal Compensation; VI. Conclusions; References; Chapter 7. An Algorithm for the Approximation of Multivariable Linear Systems; I. Introduction; II. Least-Squares Approximation; III. A Recursive Algorithm; IV. A Simulation Example; V. Conclusions; VI. Appendix A: Proof of Lemma 3.
Series Title: Control and dynamic systems, v. 29.
Responsibility: edited by C.T. Leondes.

Abstract:

Control and Dynamic Systems V29.

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