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Introduction to Modern Controls
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Chapters
1. Introduction
2. Modeling
3. Laplace and Z Transforms
4. State-Space Description
5. State-Space Realizations
6. Solution of Time-Invariant SS Equations
7. Discrete-Time Models
8. Stability
9. Controllability and Observability
10. Kalman Decomposition
11. State Feedback
12. Observers
13. Linear Quadratic Optimal Control
14. Review of Probability Theory
15. Least Square Estimation
16. Kalman Filter
17. Linear Quadratic Gaussian (LQG)
Bonus / Advanced Topics
Dynamic Programming
Discrete-time LQ
Frequency-shaped LQ
MIMO feedback design
Loop transfer recovery
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State feedback
Controllability and observability
Stability
Discretization
State-space solution
Laplace and Z transforms
Examples
Discrete-time LQ
LQ
State transition matrix
Modeling
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