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Model Predictive Control (MPC)
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Classroom Contents
Advanced Process Control
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- 1 Introduction and Motivation
- 2 Linearization of Mechanistic Models
- 3 Linearization of Mechanistic Models (Contd.)
- 4 Introduction to z-transforms and Development of Grey-box models
- 5 Introduction to Stability Analysis and Development of Output Error Models
- 6 Introduction to Stochastic Processes
- 7 Introduction to Stochastic Processes (Contd.)
- 8 Development of ARX models
- 9 Statistical Properties of ARX models and Development of ARMAX models
- 10 Development of ARMAX models (contd.) and Issues in Model Development
- 11 Model Structure Selection and Issues in Model Development (contd.)
- 12 Issues in Model Development (contd.) and State Realizations of Transfer Function Models
- 13 Stability Analysis of Discrete Time Systems
- 14 Lyapunov Functions and Interaction Analysis and Multi-loop Control
- 15 Interaction Analysis and Multi-loop Control (contd.)
- 16 Multivariable Decoupling Control and Soft Sensing and State Estimation
- 17 Development of Luenberger Observer
- 18 Development of Luenberger Observer (contd.) and Introduction to Kalman Filtering
- 19 Kalman Filtering
- 20 Kalman Filtering (contd.)
- 21 Kalman Filtering (contd.)
- 22 Pole Placement State Feedback Control Design and Introduction to Linear Quadratic Gaussian Control
- 23 Linear Quadratic Gaussian (LQG) Regulator Design
- 24 Linear Quadratic Gaussian (LQG) Controller Design
- 25 Model Predictive Control (MPC)
- 26 Model Predictive Control (contd.)
