Introduction / 1: |
Problem Definition |
Overview of Design Approach |
Computer-Aided Design |
Suggestions for Further Reading |
Summary |
Problems |
Review of Continuous Control / 2: |
Dynamic Response |
Basic Properties of Feedback |
Root Locus |
Frequency Response Design |
Compensation |
State-Space Design |
Introductory Digital Control / 3: |
Digitization |
Effect of Sampling |
PID Control |
Discrete Systems Analysis / 4: |
Linear Difference Equations |
The Discrete Transfer Function |
Discrete Models of Sampled-Data Systems |
Signal Analysis and Dynamic Response |
Frequency Response |
Properties of the z-Transform |
Sampled-Data Systems / 5: |
Analysis of the Sample and Hold |
Spectrum of a Sampled Signal |
Data Extrapolation |
Block-Diagram Analysis of Sampled-Data Systems |
Calculating the System Output Between Samples: The Ripple |
Appendix |
Discrete Equivalents / 6: |
Design of Discrete Equivalents via Numerical Integration |
Zero-Pole Matching Equivalents |
Hold Equivalents |
Design Using Transform Techniques / 7: |
System Specifications |
Design by Emulation |
Direct Design by the Root Locus in the z-Plane |
Frequency Response Methods |
Direct Design Method of Ragazzini |
Design Using State-Space Methods / 8: |
Control Law Design |
Estimator Design |
Regulator Design: Combined Control Law and Estimator |
Introduction of the Reference Input |
Integral Control and Disturbance Estimation |
Effect of Delays |
Controllability and Observability |
Multivariable and Optimal Control / 9: |
Decoupling |
Time-Varying Optimal Control |
LQR Steady-State Optimal Control |
Optimal Estimation |
Multivariable Control Design |
Quantization Effects / 10: |
Analysis of Round-Off Error |
Effects of Parameter Round-Off |
Limit Cycles and Dither Summary |
Sample Rate Selection / 11: |
The Sampling Theorem's Limit |
Time Response and Smoothness |
Errors Due to Random Plant Disturbances |
Sensitivity to Parameter Variations |
Measurement Noise and Antialiasing Filters |
Multirate Sampling |
System Identification / 12: |
Defining the Model Set for Linear Systems |
Identification of Nonparametric Models |
Models and Criteria for Parametric Identification |
Deterministic Estimation |
Stochastic Least Squares |
Maximum Likelihood |
Numerical Search for the Maximum Likelihood Estimate |
Subspace Identification Methods |
Nonlinear Control / 13: |
Analysis Techniques |
Design of a Disk Drive Servo: A Case Study / 14: |
Overview of Disk Files |
Components and Models |
Design Specifications |
Disk Servo Design |
Introduction / 1: |
Problem Definition |
Overview of Design Approach |
Computer-Aided Design |
Suggestions for Further Reading |
Summary |