Advanced Process Control


Lecture 1 - Introduction and Motivation


Lecture 2 - Linearization of Mechanistic Models


Lecture 3 - Linearization of Mechanistic Models (Continued...)


Lecture 4 - Introduction to z-transforms and Development of Grey-box models


Lecture 5 - Introduction to Stability Analysis and Development of Output Error Models


Lecture 6 - Introduction to Stochastic Processes


Lecture 7 - Introduction to Stochastic Processes (Continued...)


Lecture 8 - Development of ARX models


Lecture 9 - Statistical Properties of ARX models and Development of ARMAX models


Lecture 10 - Development of ARMAX models (Continued...) and Issues in Model Development


Lecture 11 - Model Structure Selection and Issues in Model Development (Continued...)


Lecture 12 - Issues in Model Development (Continued...) and State Realizations of Transfer Function Models


Lecture 13 - Stability Analysis of Discrete Time Systems


Lecture 14 - Lyapunov Functions and Interaction Analysis and Multi-loop Control


Lecture 15 - Interaction Analysis and Multi-loop Control (Continued...)


Lecture 16 - Multivariable Decoupling Control and Soft Sensing and State Estimation


Lecture 17 - Development of Luenberger Observer


Lecture 18 - Development of Luenberger Observer (Continued...) and Introduction to Kalman Filtering


Lecture 19 - Kalman Filtering


Lecture 20 - Kalman Filtering (Continued...)


Lecture 21 - Kalman Filtering (Continued...)


Lecture 22 - Pole Placement State Feedback Control Design and Introduction to Linear Quadratic Gaussian (LQG) Control


Lecture 23 - Linear Quadratic Gaussian (LQG) Regulator Design


Lecture 24 - Linear Quadratic Gaussian (LQG) Controller Design


Lecture 25 - Model Predictive Control (MPC)


Lecture 26 - Model Predictive Control (Continued...)