Description: Advanced Process Control
Curriculum
- 1 Section
- 26 Lessons
- 10 Weeks
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- Advanced Process Control26
- 2.1Mod-01 Lec-01 Introduction and Motivation
- 2.2Mod-02 Lec-02 Linearization of Mechanistic Models
- 2.3Mod-02 Lec-03 Linearization of Mechanistic Models (Contd.)
- 2.4Mod-02 Lec-04 Introduction to z-transforms and Development of Grey-box models
- 2.5Mod-03 Lec-05 Introduction to Stability Analysis and Development of Output Error Models
- 2.6Mod-03 Lec-06 Introduction to Stochastic Processes
- 2.7Mod-03 Lec-07 Introduction to Stochastic Processes (Contd.)
- 2.8Mod-03 Lec-08 Development of ARX models
- 2.9Mod-03 Lec-09 Statistical Properties of ARX models and Development of ARMAX models
- 2.10Mod-03 Lec-10 Development of ARMAX models (contd.) and Issues in Model Development
- 2.11Mod-03 Lec-11 Model Structure Selection and Issues in Model Development (contd.) Mod-03
- 2.12Lec-12 Issues in Model Development (contd.) and State Realizations of Transfer
- 2.13Mod-04 Lec-13 Stability Analysis of Discrete Time Systems Mod-04
- 2.14Lec-14 Lyapunov Functions and Interaction Analysis and Multi-loop Control
- 2.15Mod-04 Lec-15 Interaction Analysis and Multi-loop Control (contd.)
- 2.16Mod-04 Lec-16 Multivariable Decoupling Control and Soft Sensing and State Estimation
- 2.17Mod-05 Lec-17 Development of Luenberger Observer
- 2.18Mod-05 Lec-18 Development of Luenberger Observer (contd.) and Introduction to Kalman Filtering
- 2.19Mod-05 Lec-19 Kalman Filtering
- 2.20Mod-05 Lec-20 Kalman Filtering (contd.)
- 2.21Mod-05 Lec-21 Kalman Filtering (contd.)
- 2.22Mod-06 Lec-22 Pole Placement State Feedback Control Design and Introduction to Linear Quadratic
- 2.23Mod-06 Lec-23 Linear Quadratic Gaussian (LQG) Regulator Design
- 2.24Mod-06 Lec-24 Linear Quadratic Gaussian (LQG) Controller Design
- 2.25Mod-06 Lec-25 Model Predictive Control (MPC)
- 2.26Mod-06 Lec-26 Model Predictive Control (contd.)