2K6 AEI 705(D) SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL

Module I 12 Hrs
Mathematical Modeling of a process – System Identification – Definition, Steps and
Limitation – Non parametric method – Transient method – Frequency method – Correlation
method – Spectral method
Module II 13 Hrs
White Box, Black Box and Grey Box models – General Time invariant model – Transfer
Function Models – ARX – ARMAX – ARMA – ARARX – Least Square Method – Prediction
Error Method – Best Linear Unbiased Estimate – BLUE with Linear Constraint – Instrumental
Variable Method
Module III 15 Hrs
Recursive Identification methods – Recursive Least Square method(RLS) – Recursive
Instrumental Variable method (RIV) – Recursive Extended Instrumental Variable method
(REIV) – Recursive Prediction Error method (RPEM) – Pseudo Linear Regression (PLR)
Module IV 12 Hrs
Closed Loop Identification Methods – Spectral Analysis – Instrumental Variable method
– Prediction Error Method
Adaptive Control – General Block Diagram – Adaptive Schemes – Gain Scheduling
Method – MRAS – Self Tuning Regulator – Pole Placement Techniques
 

Reference Books
1. Ljung L., System Identification: Theory for the user, Prentice Hall, Englewood Cliffs,1987.
2. Soderstorm T. and Petre stoica, System Identification, Prentice Hall International (UK)
3. Satry S. and Bodson M. adaptive Control – Stability Convergence and Robustness