by Ka-lun Tung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 168-[175]). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Control with Uncertainties --- p.1 / Chapter 1.1.1 --- Adaptive Control --- p.2 / Chapter 1.1.2 --- H∞ Robust Control --- p.3 / Chapter 1.2 --- A Unified Framework: Adaptive Robust Control --- p.4 / Chapter 1.3 --- System Identification for Robust Control --- p.6 / Chapter 1.3.1 --- Choice of input signal --- p.7 / Chapter 1.4 --- Objectives and Contributions --- p.8 / Chapter 1.5 --- Thesis Outline --- p.9 / Chapter 2 --- Background on Robust Control --- p.11 / Chapter 2.1 --- Notation and Terminology --- p.12 / Chapter 2.1.1 --- Notation --- p.12 / Chapter 2.1.2 --- Linear System Terminology --- p.13 / Chapter 2.1.3 --- Norms --- p.15 / Chapter 2.1.4 --- More Terminology: A Standard Feedback Configuration --- p.17 / Chapter 2.2 --- Norms and Power for Signals and Systems --- p.18 / Chapter 2.3 --- Plant Uncertainty Model --- p.20 / Chapter 2.3.1 --- Multiplicative Unstructured Uncertainty --- p.21 / Chapter 2.3.2 --- Additive Unstructured Uncertainty --- p.22 / Chapter 2.3.3 --- Structured Uncertainty --- p.23 / Chapter 2.4 --- Motivation for H∞ Control Design --- p.23 / Chapter 2.4.1 --- Robust stabilization: Multiplicative Uncertainty and Weight- ing function W3 --- p.24 / Chapter 2.4.2 --- Robust stabilization: Additive Uncertainty and Weighting function W2 --- p.25 / Chapter 2.4.3 --- Tracking Problem --- p.26 / Chapter 2.4.4 --- Disturbance Rejection (or Sensitivity Minimization) --- p.27 / Chapter 2.5 --- The Robust Control Problem Statement --- p.28 / Chapter 2.5.1 --- The Mixed-Sensitivity Approach --- p.29 / Chapter 2.6 --- An Augmented Generalized Plant --- p.30 / Chapter 2.6.1 --- The Augmented Plant --- p.30 / Chapter 2.6.2 --- Adaptation of Augmented Plant to Sensitivity Minimiza- tion Problem --- p.32 / Chapter 2.6.3 --- Adaptation of Augmented Plant to Mixed-Sensitivity Prob- lem --- p.33 / Chapter 2.7 --- Using MATLAB Robust Control Toolbox --- p.34 / Chapter 3 --- Statistical Plant Set Estimation for Robust Control --- p.36 / Chapter 3.1 --- An Overview --- p.37 / Chapter 3.2 --- The Schroeder-phased Input Design --- p.39 / Chapter 3.3 --- The Statistical Additive Uncertainty Bounds --- p.40 / Chapter 3.4 --- Additive Uncertainty Characterization --- p.45 / Chapter 3.4.1 --- "Linear Programming Spectral Overbounding and Factor- ization Algorithm (LPSOF) [20,21]" --- p.45 / Chapter 4 --- Basic System Identification and Model Reduction Algorithms --- p.48 / Chapter 4.1 --- The Eigensystem Realization Algorithm --- p.49 / Chapter 4.1.1 --- Basic Algorithm --- p.49 / Chapter 4.1.2 --- Estimating Markov Parameters from Input/Output data: Observer/Kalman Filter Identification (OKID) --- p.51 / Chapter 4.2 --- The Frequency-Domain Identification via 2-norm Minimization --- p.54 / Chapter 4.3 --- Balanced Realization and Truncation --- p.55 / Chapter 4.4 --- Frequency Weighted Balanced Truncation --- p.56 / Chapter 5 --- Plant Model Reduction and Robust Control Design --- p.59 / Chapter 5.1 --- Problem Formulation --- p.59 / Chapter 5.2 --- Iterative Reweighting Scheme --- p.60 / Chapter 5.2.1 --- Rationale Behind the Scheme --- p.62 / Chapter 5.3 --- Integrated Model Reduction/ Robust Control Design with Iter- ated Reweighting --- p.63 / Chapter 5.4 --- A Design Example --- p.64 / Chapter 5.4.1 --- The Plant and Specification --- p.64 / Chapter 5.4.2 --- First Iteration --- p.65 / Chapter 5.4.3 --- Second Iteration --- p.67 / Chapter 5.5 --- Approximate Fractional Frequency Weighting --- p.69 / Chapter 5.5.1 --- Summary of Past Results --- p.69 / Chapter 5.5.2 --- Approximate Fractional Frequency Weighting Approach [40] --- p.70 / Chapter 5.5.3 --- Simulation Results --- p.71 / Chapter 5.6 --- Integrated System Identification/Control Design with Iterative Reweighting Scheme --- p.74 / Chapter 6 --- Controller Reduction and Robust Control Design --- p.82 / Chapter 6.1 --- Motivation for Controller Reduction --- p.83 / Chapter 6.2 --- Choice of Frequency Weightings for Controller Reduction --- p.84 / Chapter 6.2.1 --- Stability Margin Considerations --- p.84 / Chapter 6.2.2 --- Closed-Loop Transfer Function Considerations --- p.85 / Chapter 6.2.3 --- A New Way to Determine Frequency Weighting --- p.86 / Chapter 6.3 --- A Scheme for Iterative Frequency Weighted Controller Reduction (IFWCR) --- p.87 / Chapter 7 --- A Comparative Design Example --- p.90 / Chapter 7.1 --- Plant Model Reduction Approach --- p.90 / Chapter 7.2 --- Weighted Controller Reduction Approach --- p.94 / Chapter 7.2.1 --- A Full Order Controller --- p.94 / Chapter 7.2.2 --- Weighted Controller Reduction with Stability Considera- tions --- p.94 / Chapter 7.2.3 --- Iterative Weighted Controller Reduction --- p.96 / Chapter 7.3 --- Summary of Results --- p.101 / Chapter 7.4 --- Discussions of Results --- p.101 / Chapter 8 --- A Comparative Example on a Benchmark problem --- p.105 / Chapter 8.1 --- The Benchmark plant [54] --- p.106 / Chapter 8.1.1 --- Benchmark Format and Design Information --- p.106 / Chapter 8.1.2 --- Control Design Specifications --- p.107 / Chapter 8.2 --- Selection of Performance Weighting function --- p.108 / Chapter 8.2.1 --- Reciprocal Principle --- p.109 / Chapter 8.2.2 --- Selection of W1 --- p.110 / Chapter 8.2.3 --- Selection of W2 --- p.110 / Chapter 8.3 --- System Identification by ERA --- p.112 / Chapter 8.4 --- System Identification by Curve Fitting --- p.114 / Chapter 8.4.1 --- Spectral Estimate --- p.114 / Chapter 8.4.2 --- Curve Fitting Results --- p.114 / Chapter 8.5 --- Robust Control Design --- p.115 / Chapter 8.5.1 --- The selection of W1 weighting function --- p.115 / Chapter 8.5.2 --- Summary of Design Results --- p.116 / Chapter 8.6 --- Stress Level 1 --- p.117 / Chapter 8.6.1 --- System Identification Results --- p.117 / Chapter 8.6.2 --- Design Results --- p.119 / Chapter 8.6.3 --- Step Response --- p.121 / Chapter 8.7 --- Stress Level 2 --- p.124 / Chapter 8.7.1 --- System Identification Results --- p.124 / Chapter 8.7.2 --- Step Response --- p.125 / Chapter 8.8 --- Stress Level 3 --- p.128 / Chapter 8.8.1 --- System Identification Results --- p.128 / Chapter 8.8.2 --- Step Response --- p.129 / Chapter 8.9 --- Comparisons with Other Designs --- p.132 / Chapter 9 --- Conclusions and Recommendations for Further Research --- p.133 / Chapter 9.1 --- Conclusions --- p.133 / Chapter 9.2 --- Recommendations for Further Research --- p.135 / Chapter A --- Design Results of Stress Levels 2 and3 --- p.137 / Chapter A.1 --- Stress Level 2 --- p.137 / Chapter A.2 --- Stress Level 3 --- p.140 / Chapter B --- Step Responses with Reduced Order Controller --- p.142 / Chapter C --- Summary of Results of Other Groups on the Benchmark Prob- lem --- p.145 / Chapter C.1 --- Indirect and implicit adaptive predictive control [45] --- p.146 / Chapter C.2 --- H∞ Robust Control [51] --- p.150 / Chapter C.3 --- Robust Stability Degree Assignment [53] --- p.152 / Chapter C.4 --- Model Reference Adaptive Control [46] --- p.154 / Chapter C.5 --- Robust Pole Placement using ACSYDE (Automatic Control Sys- tem Design) [47] --- p.156 / Chapter C.6 --- Adaptive PI Control [48] --- p.157 / Chapter C.7 --- Adaptive Control with supervision [49] --- p.160 / Chapter C.8 --- Partial State Model Reference (PSRM) Control [50] --- p.162 / Chapter C.9 --- Contstrainted Receding Horizon Predictive Control (CRHPC) [52] --- p.165 / Bibliography --- p.168
Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_320644 |
Date | January 1995 |
Contributors | Tung, Ka-lun., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
Publisher | Chinese University of Hong Kong |
Source Sets | The Chinese University of Hong Kong |
Language | English |
Detected Language | English |
Type | Text, bibliography |
Format | print, xiv, 168, [7] leaves : ill. ; 30 cm. |
Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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