Learn · Advanced Process Control
Lecture 8 of 26Development of Linear Black-box Dynamic Models
Lecture 8-Development of ARX models
Prof. Sachin C. Patwardhan · IIT Bombay
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- Advanced Process Control, IIT Bombay (at NPTEL)
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All the lectures
- 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 (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 (contd.)