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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
Controller Design and Tuning
Performance Specifications
Time Domain Specifications
Rise Time
Settling Time
Overshoot
Steady-State Error
Frequency Domain Specifications
Bandwidth
Resonant Peak
Gain and Phase Margins
Integral Performance Criteria
IAE Criterion
ISE Criterion
ITAE Criterion
ITSE Criterion
Classical Tuning Methods
Ziegler-Nichols Methods
Ultimate Cycle Method
Process Reaction Curve Method
Modified Z-N Methods
Cohen-Coon Method
Tyreus-Luyben Method
Lambda Tuning
Model-Based Tuning
Direct Synthesis Method
Internal Model Control
Pole Placement Design
LQR Design
Tuning for Special Processes
Integrating Processes
Inverse Response Processes
Processes with Large Dead Time
Nonlinear Processes
Control Loop Performance Assessment
Performance Monitoring
Loop Diagnostics
Troubleshooting Guidelines
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6. Stability Analysis
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8. Advanced Control Strategies