5.Units: 3

Course text

1. Ljung, System Identification: Theory for the Us​er, 1999.    Ljung system identification 
2. R. Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance​, 2006     Isermann Fault diagnosis
3. O. Nelles, Nonlinear system identification: from classical approaches to NN and Fuzzy, Springer, 2001. ​  Nelles Nonlinear system identification​
4. A. Tangirala, Principle of system identification, 2014      principle​

Course Evaluation

3-     Final simulation test  5, 

4-      Final written test:3         The 4 marked quiz pages are only allowed for the test   SIdentFp93.pdf       آزمون 97​

5-   Simulation of a subject in the form a Conf. paper 2. It is required for for marks above 17.5.

 Course outline​

• 1)​Introduction
• ​2-1  Signal and system review
• 2-2   Signal and system review 
• 3-1   Nonparametrlc SI: Impulse response
• 3-2  Nonparametrlc SI Spectrum  Q1 ​​​
• 4-1  Prediction and prediction models
• 4-2  Prediction and prediction models     Lab 1   
• 5-1  Esimation of linear prediction models : LS,  IV,
• 5-2   Esimation of linear prediction models :  IV, SS  Q2   ​
• 6-1  Optimization computation: Linear
• 6-2  Optimization computation:  iterative and recursive      
• 7-1  Estimation​ quality: Variance of prediction error and parameters
• 7-2 Estimation​ quality: Variance of prediction error and parameters  – Lab 2​  ​ Q3
• 8-1  SI parameters 1: input,  Sampling time-​data Preprocessing (L)- Norm
• 8-2 SI parameters 1: input,  Sampling time-​data Preprocessing (L)- Norm
• 9-1 SI parameters 1: Model Selection,  identification Validation strategy, closed loop system –
• 9-2 SI parameters 1: Model Selection,  identification Validation strategy, closed loop system – 
•  10-1 Nonlinear black box -Neural network
• 10-2 Nonlinear black box -Neural network-  Lab 3 ​​  Q4
• 11-1 Nonlinear black box -Wavelets-Fuzzy-Neuo fuzzy systems
• 11-2 Nonlinear black box -Wavelets-Fuzzy-Neuo fuzzy systems –  
• 12-1 Fault diagnosis and isolation 1 
• 12-2 Fault diagnosis and isolation 1    
• 13-1  Review
• 13-2   Review Lab4​   -Q5

• system identification user’s guide.pdf
• ljung Approaches to Identification of Nonlinear Systems.pdf
• Identification and Control of Dynamical Systems using Neural Network.pdf
• Nonlinear System Identification.pdf
• System identification of nonlinear and unstable systems.pdf
• S. I using_Matlab.pdf          ident نحوه کار با برنامه