《INTRODUCTION TO DIGITAL CONTROL SYSTEMS》求取 ⇩

ⅠMODELING AND ANALYSIS OF DISCRETE-TIME SYSTEMS3

1INTRODUCTION TO DIGITAL CONTROL3

1.1 Basic system concepts and classification4

1.2 Feedback systems and digital control9

1.3 Sampling and reconstruction of signals12

1.4 Computer interfacing16

1.5 Discrete-time system response21

1.6 Convolution of sequences24

1.7 Linear difference equations26

1.8 Solved Problems30

1.9 Summary and references35

Problems35

2TRANSFORM ANALYSIS39

2.1 Introduction to z-transforms39

2.2 Basic z-transform properties45

2.3 Inverse transform techniques51

2.4 Pulse transfer functions59

2.5 Block diagrams and signal-flow graphs64

2.6 Response from z-domain functions71

2.7 A stability test for linear discrete-time systems77

2.8 Solved problems80

2.9 Summary and references88

Problems89

3STATE-VARIABLE ANALYSIS FOR DISCRETE-TIME SYSTEMS95

3.1 Introduction to discrete-time state variables96

3.2 State variables for continuous-time systems99

3.3 General solution for the continuous-time state model101

3.4 Discrete-time state models for sampled-data systems103

3.5 System response by recursion107

3.6 State models from difference equations109

3.7 Equivalent state models and multivariable systems116

3.8 Discrete-time system stability122

3.9 Solved problems127

3.10 Summary and references137

Problems138

4SYSTEM SIMULATION TECHNIQUES145

4.1 Machine calculation of the transition matrices146

4.2 Digital filter techniques150

4.3 Homogenous equivalent systems166

4.4 Discrete-time system simulation168

4.5 Simulation of digital control systems170

4.6 Solved problems176

4.7 Summary and references183

Problems184

5DIGITAL IMPLEMENTATION191

5.1 Digital quantization191

5.2 Sensitivity analysis194

5.3 Response of discrete-time systems to white noise196

5.4 Comparison of program realizations199

5.5 Microprocessor implementation202

5.6 Solved problems206

5.7 Summary and references211

Problems212

ⅡDESIGN TECHNIQUES FOR DISCRETE-TIME SYSTEMS219

6DESIGN IN THE Z-DOMAIN219

6.1 Second-order systemdesign219

6.2 Dominant second-order systems225

6.3 Design for steady-state error response227

6.4 Parameter design by the root-locus method231

6.5 Parameter sensitivity243

6.6 A second-order tracking filter245

6.7 Solved problems248

6.8 Summary and references257

Problems258

7CONTROLLABILITY AND STATE-VARIABLE FEEDBACK263

7.1 State controllability263

7.2 Minimum-norm solutions267

7.3 Open-loop regulation270

7.4 Design for deadbeat response273

7.5 Transformation to controllable form277

7.6 State-variable feedback design280

7.7 Solved problems285

7.8 Summary and references298

Problems299

8OBSERVABILITY AND STATE ESTIMATOR DESIGN307

8.1 State observability307

8.2 Transformation to observable form310

8.3 State estimator design313

8.4 The separation principle323

8.5 Output feedback controller design325

8.6 Duality328

8.7 Solved problems330

8.8 Summary and references341

Problems342

9INTRODUCTION TO OPTIMAL CONTROL347

9.1 Quadratic cost functionals347

9.2 Optimal regulation349

9.3 Solution by dynamic programming351

9.4 Root-square locus356

9.5 Set-point control359

9.6 Optimal stochastic control363

9.7 Solved problems371

9.8 Summary and references382

Problems383

APPENDICES393

ALaplace Transforms393

B Matrix Algebra405

C Discrete-Time Random Signals414

D Basic Language Programs421

ANSWERS TO SELECTED PROBLEMS447

INDEX455