Cover image for Control and estimation of systems with input/output delays
Title:
Control and estimation of systems with input/output delays
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Series:
Lecture notes in control and information sciences, 355
Publication Information:
Berlin : Springer, 2007
ISBN:
9783540711186
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30000010151724 TJ212 Z42 2007 Open Access Book Book
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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 Spacep. 1
1.1 Definition of Krein Spacesp. 1
1.2 Projections in Krein Spacesp. 3
1.3 Kalman Filtering Formulation in Krein Spacesp. 4
1.4 Two Basic Problems of Quadratic Forms in Krein Spacesp. 5
1.4.1 Problem 1p. 5
1.4.2 Problem 2p. 6
1.5 Conclusionp. 6
2 Optimal Estimation for Systems with Measurement Delaysp. 7
2.1 Introductionp. 7
2.2 Single Measurement Delay Casep. 7
2.2.1 Re-organized Measurementsp. 9
2.2.2 Re-organized Innovation Sequencep. 11
2.2.3 Riccati Difference Equationp. 12
2.2.4 Optimal Estimate x(t | t)p. 13
2.2.5 Computational Costp. 15
2.3 Multiple Measurement Delays Casep. 17
2.3.1 Re-organized Measurementsp. 18
2.3.2 Re-organized Innovation Sequencep. 19
2.3.3 Riccati Equationp. 20
2.3.4 Optimal Estimate x(t | t)p. 22
2.3.5 Numerical Examplep. 24
2.4 Conclusionp. 26
3 Optimal Control for Systems with Input/Output Delaysp. 27
3.1 Introductionp. 27
3.2 Linear Quadratic Regulationp. 28
3.2.1 Duality Between Linear Quadratic Regulation and Smoothing Estimationp. 29
3.2.2 Solution to Linear Quadratic Regulationp. 34
3.3 Output Feedback Controlp. 41
3.4 Examplesp. 44
3.5 Conclusionp. 50
4 H[infinity] Estimation for Discrete-Time Systems with Measurement Delaysp. 53
4.1 Introductionp. 53
4.2 H[infinity] Fixed-Lag Smoothingp. 54
4.2.1 An Equivalent H[subscript 2] Estimation Problem in Krein Spacep. 55
4.2.2 Re-organized Innovation Sequencep. 58
4.2.3 Calculation of the Innovation Covariancep. 59
4.2.4 H[infinity] Fixed-Lag Smootherp. 63
4.2.5 Computational Cost Comparison and Examplep. 67
4.2.6 Simulation Examplep. 69
4.3 H[infinity] d-Step Predictionp. 69
4.3.1 An Equivalent H[subscript 2] Problem in Krein Spacep. 70
4.3.2 Re-organized Innovationp. 73
4.3.3 Calculation of the Innovation Covariancep. 74
4.3.4 H[infinity] d-Step Predictorp. 76
4.4 H[infinity] Filtering for Systems with Measurement Delayp. 77
4.4.1 Problem Statementp. 77
4.4.2 An Equivalent Problem in Krein Spacep. 78
4.4.3 Re-organized Innovation Sequencep. 80
4.4.4 Calculation of the Innovation Covariance Q[subscript w] (t)p. 82
4.4.5 H[infinity] Filteringp. 84
4.5 Conclusionp. 85
5 H[infinity] Control for Discrete-Time Systems with Multiple Input Delaysp. 87
5.1 Introductionp. 87
5.2 H[infinity] Full-Information Control Problemp. 88
5.2.1 Preliminariesp. 89
5.2.2 Calculation of v*p. 91
5.2.3 Maximizing Solution of J[subscript N] with Respect to Exogenous Inputsp. 96
5.2.4 Main Resultsp. 104
5.3 H[infinity] Control for Systems with Preview and Single Input Delayp. 106
5.3.1 H[infinity] Control with Single Input Delayp. 106
5.3.2 H[infinity] Control with Previewp. 108
5.4 An Examplep. 111
5.5 Conclusionp. 113
6 Linear Estimation for Continuous-Time Systems with Measurement Delaysp. 115
6.1 Introductionp. 115
6.2 Linear Minimum Mean Square Error Estimation for Measurement Delayed Systemsp. 116
6.2.1 Problem Statementp. 116
6.2.2 Re-organized Measurement Sequencep. 117
6.2.3 Re-organized Innovation Sequencep. 118
6.2.4 Riccati Equationp. 119
6.2.5 Optimal Estimate x(t | t)p. 120
6.2.6 Numerical Examplep. 121
6.3 H[infinity] Filtering for Systems with Multiple Delayed Measurementsp. 122
6.3.1 Problem Statementp. 123
6.3.2 An Equivalent Problem in Krein Spacep. 124
6.3.3 Re-organized Innovation Sequencep. 126
6.3.4 Riccati Equationp. 127
6.3.5 Main Resultsp. 129
6.3.6 Numerical Examplep. 130
6.4 H[infinity] Fixed-Lag Smoothing for Continuous-Time Systemsp. 132
6.4.1 Problem Statementp. 132
6.4.2 An Equivalent H[subscript 2] Problem in Krein Spacep. 133
6.4.3 Re-organized Innovation Sequencep. 136
6.4.4 Main Resultsp. 137
6.4.5 Examplesp. 140
6.5 Conclusionp. 141
7 H[infinity] Estimation for Systems with Multiple State and Measurement Delaysp. 143
7.1 Introductionp. 143
7.2 Problem Statementsp. 144
7.3 H[infinity] Smoothingp. 145
7.3.1 Stochastic System in Krein Spacep. 146
7.3.2 Sufficient and Necessary Condition for the Existence of an H[infinity] Smootherp. 148
7.3.3 The Calculation of an H[infinity] Estimator z(t, d)p. 149
7.4 H[infinity] Predictionp. 157
7.5 Conclusionp. 162
8 Optimal and H[infinity] Control of Continuous-Time Systems with Input/Output Delaysp. 163
8.1 Introductionp. 163
8.2 Linear Quadratic Regulationp. 164
8.2.1 Problem Statementsp. 164
8.2.2 Preliminariesp. 165
8.2.3 Solution to the LQR Problemp. 169
8.2.4 An Examplep. 175
8.3 Measurement Feedback Controlp. 178
8.3.1 Problem Statementp. 179
8.3.2 Solutionp. 180
8.4 H[infinity] Full-Information Controlp. 185
8.4.1 Problem Statementp. 185
8.4.2 Preliminariesp. 187
8.4.3 Calculation of v*p. 190
8.4.4 H[infinity] Controlp. 195
8.4.5 Special Casesp. 199
8.5 Conclusionp. 203
Referencesp. 205
Indexp. 211