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1. Dynamic Modelling of Chemical Processes
2. Linear Feedback Control
3. Stability Analysis
4. Design of Feedback Controllers
5. Frequency Analysis
6. Improvement of Control Systems
7. State Representation, Controllability and Observability
8. Multivariable Control by Transfer Function Matrix
9. Discrete-Time Generalities and Basic Signal Processing
10. Identification Principles
11. Models and Methods for Parametric Identification
12. Parametric Estimation Algorithms
13. Digital Control
14. Optimal Control
15. Generalized Predictive Control
16. Model Predictive Control
17. Nonlinear Geometric Control
18. State Observers
19. Nonlinear Control of Reactors with State Estimation
20. Distillation Column Control
21. Examples and Benchmarks of Typical Processes.

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