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Chemical Engineering
System (Process) Identification (Web)
Syllabus
Co-ordinated by :
IIT Madras
Available from :
2013-08-07
Lec :
1
Modules / Lectures
Introduction
Introduction and Scaling
Step-wise procedure for identification
A quick tour of Identification
Mathematical descriptions of systems (models)
LTI Systems Theory
Non-Parametric Descriptions
Parametric Descriptions
State-Space Descriptions
Sampled-Data Systems
Random Processes
Random Variables
Covariance & Correlation
Introduction to Random Processes
Auto-Correlation & Cross-Correlation Functions
Moving Average Models
Auto-Regressive Models
ARIMA Models
Spectral Representations
Estimation Theory
Introduction to Estimation
Properties of estimators - I
Properties of estimators - II
Estimation methods: MoM, OLS methods
Estimation methods: Variants of OLS
Estimation methods: MLE, Bayesian methods
Estimation of Signal Properties
Models & Predictions
Overall Models for Identification
Predictions
Input-Output identification
Estimation of Time-Series Models
Estimation of Impulse / Step (Response) Models
Estimation of Frequency Response Functions
Estimation of Parametric Input-Output Models
Sub-space identification
State-Space Models
Sub-space Identification Algorithms
Practical Aspects
Model Structure Selection & Assessment
Case Studies
Input Design
Identifiability & Informative Experiments
Inputs for identification of LTI systems
Advanced Topics
Recursive Identification
Closed-Loop Identification
Non-linear identification
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