Chemical - Advanced Process Control (English)

   Friday, May 02, 2025   

Starting a new Lecture Notes Series on Chemical - Advanced Process Control

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Chemical - Advanced Process Control By Lecture Notes together!

Lecture 1: Introduction and Motivation

Lecture 2: Linearization of Mechanistic Models

Lecture 3: Linearization of Mechanistic Models (Contd.)

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 (Contd.)

Lecture 8: Development of ARX models

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

Lecture 10: Development of ARMAX models (contd.) and Issues in Model Development

Lecture 11: Model Structure Selection and Issues in Model Development (contd.)

Lecture 12: Issues in Model Development (contd.) 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 (contd.)

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

Lecture 17: Development of Luenberger Observer

Lecture 18: Development of Luenberger Observer (contd.) and Introduction to Kalman Filtering

Lecture 19: Kalman Filtering

Lecture 20: Kalman Filtering (contd.)

Lecture 21: Kalman Filtering (contd.)

Lecture 22: Pole Placement State Feedback Control Design and Introduction to Linear Quadratic Gaussian 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 (contd.)