System Identification detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the EIE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Electronics & Instrumentation Engineering 5th Sem scheme and its subjects, do visit EIE 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to EIE Professional Elective-III syllabus scheme. The detailed syllabus of system identification is as follows.
Course Objectives:
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Unit I
NON PARAMETRIC METHODS
Nonparametric methods: Transient analysis – frequency analysis – Correlation analysis -Spectral analysis.
Unit II
PARAMETRIC METHODS
Parametric model structures: ARX, ARMAX, OE, BJ models – The Least square estimate -Best linear unbiased estimation under linear constraints – Updating the Parameter estimates for linear regression models – Prediction error methods: Description of Prediction error methods – Optimal Prediction – Relationships between prediction error methods and other identification methods – theoretical analysis. Instrumental variable methods: Description of Instrumental variable methods – Theoretical analysis – covariance matrix of IV estimates -Comparison of optimal IV and prediction error methods.
Unit III
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Unit IV
CLOSED- LOOP IDENTIFICATION
Identification of systems operating in closed loop: direct identification and indirect identification – Subspace Identification methods: classical and innovation forms – Relay feedback identification of stable processes.
Unit V
NONLINEAR SYSTEM IDENTIFICATION
Modeling of nonlinear systems using ANN- NARX & NARMAX – Training Feed-forward and Recurrent Neural Networks – TSK model – Adaptive Neuro-Fuzzy Inference System (ANFIS) -Introduction to Support Vector Regression.
Skill Development Activities
(Group Seminar/Mini Project/Assignment/Content 10 Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
- Familiarization of various system identification methods in MATLAB.
- Seminar on ANFIS
- Exploration of other advanced system identification methods.
Course Outcomes:
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Text Books:
- Lennart Ljung, �System Identification: Theory for the user�, 2nd Edition, Prentice Hall, 1999.
- Dan Simon, �Optimal State Estimation Kalman, H-infinity and Non-linear Approaches�, John Wiley and Sons, 2006,
- Tangirala, A.K., �Principles of System Identification: Theory and Practice�, CRC Press, 2014, 1st Edition.
Reference Books:
- Cortes, C., and Vapnik, V., �Support-Vector Networks, Machine Learning�, 1995, 1st Edition.
- Miller, W.T., Sutton, R.S., and Webrose, P.J., �Neural Networks for Control�, MIT Press, 1996, 1st Edition.
- Van der Heijden, F., Duin, R.P.W., De Ridder, D., and Tax, D.M.J., �Classification, Parameter Estimation and State Estimation�, An Engineering Approach Using MATLAB, John Wiley & Sons Ltd., 2017, 2nd Edition.
- Karel J. Keesman, �System Identification an Introduction�, Springer, 2011, 1st Edition.
- Tao Liu and Furong Gao, �Industrial Process Identification and control design, Step-test and relay-experiment-based methods�, Springer- Verlag London Ltd., 2012, 1st Edition.
List of Open Source Software/ Learning Website:
- https://in.mathworks.com/help/ident/
- https://nptel.ac.in/courses/103106149
- https://in.mathworks.com/help/curvefit/nonparametric-fitting.html
- https://nptel.ac.in/courses/111102143
For detailed syllabus of all the other subjects of Electronics & Instrumentation Engineering 5th Sem, visit EIE 5th Sem subject syllabuses for 2021 regulation.
For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results direct link.