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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
Advanced Control Strategies
Feedforward Control
Feedforward Principle
Feedforward Controller Design
Static Feedforward
Dynamic Feedforward
Feedforward-Feedback Combinations
Ratio Control
Ratio Control Concepts
Implementation Methods
Flow Ratio Control
Composition Ratio Control
Cascade Control
Cascade Control Structure
Primary and Secondary Loops
Design Guidelines
Tuning Cascade Systems
Override Control
Override Control Logic
High and Low Selectors
Constraint Control
Safety Override Systems
Split-Range Control
Split-Range Concepts
Valve Sequencing
Heating and Cooling Applications
Selective Control
Auctioneering Control
Mid-Value Selection
Constraint Handling
Adaptive Control
Self-Tuning Controllers
Model Reference Adaptive Control
Gain Scheduling
Model Predictive Control
MPC Fundamentals
Prediction Models
Optimization Problem
Constraint Handling
MPC Implementation
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7. Controller Design and Tuning
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9. Multivariable Control Systems