UID:
almahu_9949225585702882
Format:
1 online resource (345 p.)
ISBN:
0-323-15349-6
Series Statement:
Control and dynamic systems : advances in theory and applications ; v. 25
Content:
Control and Dynamic Systems V25
Note:
Description based upon print version of record.
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Front Cover; System Identification and Adaptive Control, Part 1 of 3; Copyright Page; Table of Contents; Preface; Chapter 1. Uncertainty Management Techniques in Adaptive Control; I. Introduction; II. Optimal Control of Stochastic Linear Discrete Systems with Perfect Measurements; III. Uncertainty Management in Modeling of Flexible Structures; IV. Optimal Estimation of the States of Linear Discrete Stochastic Systems; V. Optimal Closed-Loop Control of Stochastic Systems with Noisy Measurements; VI. Conclusions; References
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Chapter 2. Multicriteria Optimization in Adaptive and Stochastic ControlI. Introduction; II. Models, Criteria, and Estimators; III. Basic Principle and Algorithm Description; IV. Target Selection; V. Performance Analysis; VI. Conclusions; References; Chapter 3. Instrumental Variable Methods for ARMA Models; I. Introduction; II. The Estimation Method; III. Consistency and Accuracy; IV. Optimization of Estimation Accuracy; V. Comparison of the Accuracies of the Optimal IV Method and the Prediction Error Method; VI. The Optimal Choice of G(q - 1)
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VII. The Optimal IV Multistep Estimates and Their Asymptotic PropertiesVIII. Implementation of the Optimal IV Multistep Estimators; IX. Numerical Examples; X. Conclusions; Appendix A: Proof of Theorem 3; Appendix B: Convergence of Pm; Appendix C: Proof of Lemma 1; Appendix D: The Best Positive-Definite Approximation of a Symmetric Matrix; Appendix E: A Recursive QR Algorithm for Solving (6); References; Chapter 4. Continuous and Discrete Adaptive Control; I. Introduction; II. A Class of Plant Models; III. Parameter Estimation with Fixed Noise Filters
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IV. Parameter Estimation with Unknown Noise FiltersV. Stochastic Control; VI. Adaptive Control; VII. Application to a Servo System; VIII. Conclusion; References; Chapter 5. Adaptive Control: A Simplified Approach; I. Introduction; II. Formulation of Some Basic Ideas; III. Simplified Adaptive Control in ASPR Systems; IV. Generalization of the Simplified Adaptive Algorithm; V. Conclusions; Appendix A: The Derivative of the Lyapunov Function (49); Appendix B: The Derivative of the Lyapunov Function (109); References; Chapter 6. Discrete Averaging Principles and Robust Adaptive Identification
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I. Introduction and OutlineII. Identification, Adaptive Identification, and Robust Adaptive Identification; III. Adaptive Identification Algorithms and Error Systems; IV. Discrete-Time Averaging Methods; V. Robustness of Adaptive Identification; VI. Implications for Design and Operation; References; Chapter 7. Techniques for Adaptive State Estimation through the Utilization of Robust Smoothing; I. Introduction; II. Robust Estimation of Observed State Variables; III. Adaptive Gain Matrix Weighting; IV. Adaptive Error Covariance Matrix Weighting; V. Robust Smoothing; VI. Simulation Results
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VII. Conclusions
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English
Additional Edition:
ISBN 0-12-012725-3
Language:
English
