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Searching... | 30000010151724 | TJ212 Z42 2007 | Open Access Book | Book | Searching... |
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Summary
Summary
Time delay systems exist in many engineering ?elds such as transportation, communication, process engineering and more recently networked control s- tems. In recent years, time delaysystems haveattracted recurring interests from research community. Much of the research work has been focused on stability analysis and stabilization of time delay systems using the so-called Lyapunov- Krasovskii functionals and linear matrix inequality (LMI) approach. While the LMI approach does provide an e'cient tool for handling systems with delays in state and/or inputs, the LMI based results are mostly only su'cient and only numerical solutions are available. For systems with knownsingle input delay, there have been rather elegant- alytical solutions to various problems such as optimal tracking, linear quadratic regulation and H control. We note that discrete-time systems with delays can ? usually be converted into delay free systems via system augmentation, however, theaugmentationapproachleadsto muchhigher computationalcosts, especially for systems of higher state dimension and large delays. For continuous-time s- tems, time delayproblemscaninprinciple betreatedby thein'nite-dimensional system theory which, however, leads to solutions in terms of Riccati type partial di'erential equations or operator Riccati equations which are di'cult to und- stand and compute. Some attempts have been made in recent years to derive explicit and e'cient solutions for systems with input/output (i/o) delays. These include the study ontheH controlofsystemswith multiple input delaysbased ? on the stable eigenspace of a Hamlitonian matrix 46].
Table of Contents
1 Krein Space | p. 1 |
1.1 Definition of Krein Spaces | p. 1 |
1.2 Projections in Krein Spaces | p. 3 |
1.3 Kalman Filtering Formulation in Krein Spaces | p. 4 |
1.4 Two Basic Problems of Quadratic Forms in Krein Spaces | p. 5 |
1.4.1 Problem 1 | p. 5 |
1.4.2 Problem 2 | p. 6 |
1.5 Conclusion | p. 6 |
2 Optimal Estimation for Systems with Measurement Delays | p. 7 |
2.1 Introduction | p. 7 |
2.2 Single Measurement Delay Case | p. 7 |
2.2.1 Re-organized Measurements | p. 9 |
2.2.2 Re-organized Innovation Sequence | p. 11 |
2.2.3 Riccati Difference Equation | p. 12 |
2.2.4 Optimal Estimate x(t | t) | p. 13 |
2.2.5 Computational Cost | p. 15 |
2.3 Multiple Measurement Delays Case | p. 17 |
2.3.1 Re-organized Measurements | p. 18 |
2.3.2 Re-organized Innovation Sequence | p. 19 |
2.3.3 Riccati Equation | p. 20 |
2.3.4 Optimal Estimate x(t | t) | p. 22 |
2.3.5 Numerical Example | p. 24 |
2.4 Conclusion | p. 26 |
3 Optimal Control for Systems with Input/Output Delays | p. 27 |
3.1 Introduction | p. 27 |
3.2 Linear Quadratic Regulation | p. 28 |
3.2.1 Duality Between Linear Quadratic Regulation and Smoothing Estimation | p. 29 |
3.2.2 Solution to Linear Quadratic Regulation | p. 34 |
3.3 Output Feedback Control | p. 41 |
3.4 Examples | p. 44 |
3.5 Conclusion | p. 50 |
4 H[infinity] Estimation for Discrete-Time Systems with Measurement Delays | p. 53 |
4.1 Introduction | p. 53 |
4.2 H[infinity] Fixed-Lag Smoothing | p. 54 |
4.2.1 An Equivalent H[subscript 2] Estimation Problem in Krein Space | p. 55 |
4.2.2 Re-organized Innovation Sequence | p. 58 |
4.2.3 Calculation of the Innovation Covariance | p. 59 |
4.2.4 H[infinity] Fixed-Lag Smoother | p. 63 |
4.2.5 Computational Cost Comparison and Example | p. 67 |
4.2.6 Simulation Example | p. 69 |
4.3 H[infinity] d-Step Prediction | p. 69 |
4.3.1 An Equivalent H[subscript 2] Problem in Krein Space | p. 70 |
4.3.2 Re-organized Innovation | p. 73 |
4.3.3 Calculation of the Innovation Covariance | p. 74 |
4.3.4 H[infinity] d-Step Predictor | p. 76 |
4.4 H[infinity] Filtering for Systems with Measurement Delay | p. 77 |
4.4.1 Problem Statement | p. 77 |
4.4.2 An Equivalent Problem in Krein Space | p. 78 |
4.4.3 Re-organized Innovation Sequence | p. 80 |
4.4.4 Calculation of the Innovation Covariance Q[subscript w] (t) | p. 82 |
4.4.5 H[infinity] Filtering | p. 84 |
4.5 Conclusion | p. 85 |
5 H[infinity] Control for Discrete-Time Systems with Multiple Input Delays | p. 87 |
5.1 Introduction | p. 87 |
5.2 H[infinity] Full-Information Control Problem | p. 88 |
5.2.1 Preliminaries | p. 89 |
5.2.2 Calculation of v* | p. 91 |
5.2.3 Maximizing Solution of J[subscript N] with Respect to Exogenous Inputs | p. 96 |
5.2.4 Main Results | p. 104 |
5.3 H[infinity] Control for Systems with Preview and Single Input Delay | p. 106 |
5.3.1 H[infinity] Control with Single Input Delay | p. 106 |
5.3.2 H[infinity] Control with Preview | p. 108 |
5.4 An Example | p. 111 |
5.5 Conclusion | p. 113 |
6 Linear Estimation for Continuous-Time Systems with Measurement Delays | p. 115 |
6.1 Introduction | p. 115 |
6.2 Linear Minimum Mean Square Error Estimation for Measurement Delayed Systems | p. 116 |
6.2.1 Problem Statement | p. 116 |
6.2.2 Re-organized Measurement Sequence | p. 117 |
6.2.3 Re-organized Innovation Sequence | p. 118 |
6.2.4 Riccati Equation | p. 119 |
6.2.5 Optimal Estimate x(t | t) | p. 120 |
6.2.6 Numerical Example | p. 121 |
6.3 H[infinity] Filtering for Systems with Multiple Delayed Measurements | p. 122 |
6.3.1 Problem Statement | p. 123 |
6.3.2 An Equivalent Problem in Krein Space | p. 124 |
6.3.3 Re-organized Innovation Sequence | p. 126 |
6.3.4 Riccati Equation | p. 127 |
6.3.5 Main Results | p. 129 |
6.3.6 Numerical Example | p. 130 |
6.4 H[infinity] Fixed-Lag Smoothing for Continuous-Time Systems | p. 132 |
6.4.1 Problem Statement | p. 132 |
6.4.2 An Equivalent H[subscript 2] Problem in Krein Space | p. 133 |
6.4.3 Re-organized Innovation Sequence | p. 136 |
6.4.4 Main Results | p. 137 |
6.4.5 Examples | p. 140 |
6.5 Conclusion | p. 141 |
7 H[infinity] Estimation for Systems with Multiple State and Measurement Delays | p. 143 |
7.1 Introduction | p. 143 |
7.2 Problem Statements | p. 144 |
7.3 H[infinity] Smoothing | p. 145 |
7.3.1 Stochastic System in Krein Space | p. 146 |
7.3.2 Sufficient and Necessary Condition for the Existence of an H[infinity] Smoother | p. 148 |
7.3.3 The Calculation of an H[infinity] Estimator z(t, d) | p. 149 |
7.4 H[infinity] Prediction | p. 157 |
7.5 Conclusion | p. 162 |
8 Optimal and H[infinity] Control of Continuous-Time Systems with Input/Output Delays | p. 163 |
8.1 Introduction | p. 163 |
8.2 Linear Quadratic Regulation | p. 164 |
8.2.1 Problem Statements | p. 164 |
8.2.2 Preliminaries | p. 165 |
8.2.3 Solution to the LQR Problem | p. 169 |
8.2.4 An Example | p. 175 |
8.3 Measurement Feedback Control | p. 178 |
8.3.1 Problem Statement | p. 179 |
8.3.2 Solution | p. 180 |
8.4 H[infinity] Full-Information Control | p. 185 |
8.4.1 Problem Statement | p. 185 |
8.4.2 Preliminaries | p. 187 |
8.4.3 Calculation of v* | p. 190 |
8.4.4 H[infinity] Control | p. 195 |
8.4.5 Special Cases | p. 199 |
8.5 Conclusion | p. 203 |
References | p. 205 |
Index | p. 211 |