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Computer Science
Control Systems
Process Control and Dynamics
1. Introduction to Process Control
2. Mathematical Modeling of Dynamic Systems
3. Laplace Transforms and Transfer Functions
4. Dynamic Response Analysis
5. Feedback Control Fundamentals
6. Stability Analysis
7. Controller Design and Tuning
8. Advanced Control Strategies
9. Multivariable Control Systems
10. Process Control Hardware
11. Digital Process Control
12. Process Identification and Modeling
13. Industrial Applications and Case Studies
12.
Process Identification and Modeling
12.1.
System Identification Concepts
12.1.1.
Model Structure Selection
12.1.2.
Parameter Estimation
12.1.3.
Model Validation
12.2.
Experimental Design
12.2.1.
Input Signal Design
12.2.2.
Test Signal Types
12.2.3.
Data Collection Guidelines
12.3.
Parametric Identification
12.3.1.
ARX Models
12.3.2.
ARMAX Models
12.3.3.
Output Error Models
12.3.4.
Box-Jenkins Models
12.4.
Non-Parametric Identification
12.4.1.
Step Response Methods
12.4.2.
Frequency Response Methods
12.4.3.
Correlation Analysis
12.5.
Model Validation Techniques
12.5.1.
Residual Analysis
12.5.2.
Cross-Validation
12.5.3.
Information Criteria
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13. Industrial Applications and Case Studies