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