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Engineering
Chemical Engineering
Process Control and Optimization
1. Introduction to Process Control
2. Mathematical Modeling of Chemical Processes
3. Feedback Control Systems
4. Stability of Closed-Loop Systems
5. Advanced Control Strategies
6. Model Predictive Control (MPC)
7. Process Optimization
8. Real-Time Optimization (RTO)
9. Practical Implementation and Applications
Model Predictive Control (MPC)
Core Concepts of MPC
Prediction Model
Model Types Used in MPC
Step Response Models
State-Space Models
Model Identification
Objective Function
Setpoint Tracking
Control Effort Minimization
Constraint Violations
Receding Horizon Control
Prediction Horizon
Control Horizon
Implementation Strategy
Formulation of the MPC Problem
Mathematical Formulation
Quadratic Programming Formulation
Constraints Handling
Input Constraints
Output Constraints
Rate of Change Constraints
Optimization Algorithms in MPC
Types of MPC
Linear MPC
Nonlinear MPC
Robust MPC
Adaptive MPC
Tuning MPC Controllers
Selection of Horizons
Weighting Factors
Constraint Tuning
Model Update Strategies
Advantages and Disadvantages of MPC
Benefits in Industrial Applications
Limitations and Challenges
Computational Requirements
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7. Process Optimization