Identification and Stochastic Adaptive Control

Author:   Han-fu Chen ,  Lei Guo
Publisher:   Birkhauser Boston Inc
Edition:   2nd ed.
ISBN:  

9780817635978


Pages:   435
Publication Date:   01 November 1991
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Identification and Stochastic Adaptive Control


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Author:   Han-fu Chen ,  Lei Guo
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   2nd ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.780kg
ISBN:  

9780817635978


ISBN 10:   0817635971
Pages:   435
Publication Date:   01 November 1991
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Probability Theory Preliminaries.- 1.1 Random Variables.- 1.2 Expectation.- 1.3 Conditional Expectation.- 1.4 Independence, Characteristic Functions.- 1.5 Random Processes.- 1.6 Stochastic Integral.- 1.7 Stochastic Differential Equations.- 2 Limit Theorems on Martingales.- 2.1 Martingale Convergence Theorems.- 2.2 Local Convergence Theorems.- 2.3 Estimation for Weighted Sums of a Martingale Difference Sequence.- 2.4 Estimation for Double Array Martingales.- 3 Filtering and Control for Linear Systems.- 3.1 Controllability and Observability.- 3.2 Kalman Filtering for Systems with Random Coefficients.- 3.3 Discrete-Time Riccati Equations.- 3.4 Optimal Control for Quadratic Costs.- 3.5 Optimal Tracking.- 3.6 Model Reference Control.- 3.7 Control for CARIMA Models.- 4 Coefficient Estimation for ARMAX Models.- 4.1 Estimation Algorithms.- 4.2 Convergence of ELS Without the PE Condition.- 4.3 Local Convergence of SG.- 4.4 Convergence of SG Without the PE Condition.- 4.5 Convergence Rate of SG.- 4.6 Removing the SPR Condition By An Overparameterization Technique.- 4.7 Removing the SPR Condition By Using Increasing Lag Least Squares.- 5 Stochastic Adaptive Tracking.- 5.1 SG-Based Adaptive Tracker With d = 1.- 5.2 SG-Based Adaptive Tracker With d ?1.- 5.3 Stability and Optimality of Åström-Wittenmark Self-Tuning Tracker.- 5.4 Stability and Optimality of ELS-Based Adaptive Trackers.- 5.5 Model Reference Adaptive Control.- 6 Coefficient Estimation in Adaptive Control Systems.- 6.1 Necessity of Excitation for Consistency of Estimates.- 6.2 Reference Signal With Decaying Richness.- 6.3 Diminishingly Excited Control.- 7 Order Estimation.- 7.1 Order Estimation by Use of a Priori Information.- 7.2 Order Estimation by not Using Upper Bounds for Orders.- 7.3 Time-Delay Estimation.-7.4 Connections of CIC and BIC.- 8 Optimal Adaptive Control with Consistent Parameter Estimate.- 8.1 Simultaneously Gaining Optimality and Consistency in Tracking Systems.- 8.2 Adaptive Control for Quadratic Cost.- 8.3 Connection Between Adaptive Controls for Tracking and Quadratic Cost.- 8.4 Model Reference Adaptive Control With Consistent Estimate.- 8.5 Adaptive Control With Unknown Orders, Time-Delay and Coefficients.- 9 ARX(?) Model Approximation.- 9.1 Statement of Problem.- 9.2 Transfer Function Approximation.- 9.3 Estimation of Noise Process.- 10 Estimation for Time-Varying Parameters.- 10.1 Stability of Random Time-Varying Equations.- 10.2 Conditional Richness Condition.- 10.3 Analysis of Kalman Filter Based Algorithms.- 10.4 Analysis of LMS-Like Algorithms.- 11 Adaptive Control of Time-Varying Stochastic Systems.- 11.1 Preliminary Results.- 11.2 Systems with Random Parameters.- 11.3 Systems with Deterministic Parameters.- 12 Continuous-Time Stochastic Systems.- 12.1 The Model.- 12.2 Parameter Estimation.- 12.3 Adaptive Control.- References.

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