Cover image for Linear-quadratic control : an introduction
Title:
Linear-quadratic control : an introduction
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Publication Information:
Englewood Cliffs, NJ : Prentice-Hall, 1995
ISBN:
9780023299629

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30000003104746 TJ216 D68 1995 Open Access Book Book
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Summary

Summary

This text covers problems of regulation, disturbance rejection, stochastic control and robust control. It examines linear quadratic control theory as one of the major analytical techniques for the design of multivariable feedback systems. The text includes a sampling of practical applications, and a chapter on the design of digital compensators.


Table of Contents

Prefacep. v
Table of Contentsp. vii
Forwardp. xi
1 Introductionp. 1
1.1 Historical Sketchp. 1
1.2 Prerequisitesp. 5
1.3 Organization and Scope of Textp. 6
2 The LQR Problemp. 9
2.1 LQR Problem Statementp. 9
2.2 Hamilton-Jacobi Equationp. 10
2.3 LQR Solution: Matrix Riccati Equationp. 13
2.4 Riccati Equation Solutionp. 16
2.5 Steady-State Regulator Problemp. 20
2.6 Sufficient Conditions for Optimalityp. 25
2.7 Selection of M, Q, and R Matricesp. 28
2.8 Matlab Softwarep. 31
2.9 Notes and Referencesp. 33
2.10 Problemsp. 36
3 Tracking and Disturbance Rejectionp. 43
3.1 Tracking Problemp. 43
3.2 Disturbance-Rejection Problemp. 44
3.3 Disturbance-Rejection Solutionp. 46
3.4 Steady-State and Preview Controlp. 50
3.5 Unknown Disturbancesp. 53
3.6 Matlab Softwarep. 57
3.7 Notes and Referencesp. 60
3.8 Problemsp. 61
4 LQR Robustness Propertiesp. 65
4.1 Robust-Stability Conditionp. 65
4.2 Kalman's Inequalityp. 68
4.3 Gain and Phase Marginsp. 74
4.4 Matlab Softwarep. 75
4.5 Notes and Referencesp. 76
4.6 Problemsp. 77
5 Stochastic Controlp. 79
5.1 Stochastic Differential Equationsp. 80
5.2 Stochastic Hamilton-Jacobi Equationp. 82
5.3 Additive Disturbancesp. 86
5.4 Multiplicative Disturbancesp. 89
5.5 Sufficient Conditions for Optimalityp. 93
5.6 Stochastic-Deterministic Dualismp. 95
5.7 Matlab Softwarep. 97
5.8 Notes and Referencesp. 99
5.9 Problemsp. 100
6 The LQG Problemp. 103
6.1 Kalman-Bucy Filterp. 103
6.2 LQG Solution: Separation Principlep. 108
6.3 Fixed-Order Compensatorsp. 113
6.4 Matlab Softwarep. 118
6.5 Notes and Referencesp. 121
6.6 Problemsp. 123
7 Robustness Designp. 129
7.1 The Robustness Problemp. 129
7.2 LQG/LTR Designp. 132
7.3 Guaranteed-Cost Designp. 136
7.4 A Brief Survey of H[infinity] Methodsp. 145
7.5 Linear Matrix Inequality Methodsp. 157
7.6 Matlab Softwarep. 160
7.7 Notes and Referencesp. 168
7.8 Problemsp. 171
8 Digital Controlp. 175
8.1 Digital-Control Issuesp. 176
8.2 Discrete-Time LQR Problemp. 177
8.3 Discrete-Time LQR Optimizationp. 179
8.4 Steady-State Controlp. 181
8.5 Matlab Softwarep. 184
8.6 Notes and Referencesp. 187
8.7 Problemsp. 188