By chapter sections
22.1 Preview
22.2 State Estimate Feedback
22.3 Dynamic Programming and Optimal Control
22.4 The Linear Quadratic Regulator (LQR)
22.5 Properties of the Linear Quadratic Optimal Regulator
22.6 Model Matching Based on Linear Quadratic Optimal Regulators
22.7 Discrete Time Optimal Regulators
22.8 Connections to Pole Assignment
22.9 Observer Design
22.10 Linear Optimal Filters
22.11 State Estimate Feedback
22.12 Transfer Function Interpretation
22.13 Achieving Integral Action in LQR Synthesis
22.14 Industrial Applications
22.15 Summary
22.16 Further Reading
22.17 Problems for the Reader