This repository contains simulations and visualizations developed for assignments and projects in the 2024 System Identification course at K. N. Toosi University of Technology, under the supervision of Dr. Hamid Khaloozadeh, Professor of Systems and Control Engineering. All algorithms are implemented in MATLAB R2023a. Each method is applied to a specific benchmark system or model, and detailed documentation is provided within its respective directory.
| Directory | Topic | Access |
|---|---|---|
Nonparametric-Methods |
Parametric system identification of a quarter-car active suspension system using transient analysis (step response) and frequency analysis (Bode plots) |  |
Linear-Regression |
Linear regression modeling of the Boston Housing dataset using the least squares error method | |
Parametreic-Methods |
Online parametric system identification for ARX and ARMAX model structures, implemented with recursive algorithms including RLS, RIV, RPEM, and PLR | |
- Söderström, Torsten, and Petre Stoica. System Identification. Prentice Hall, 1989.
For any questions or additional information regarding the System Identification Course 2024, please do not hesitate to contact me at mm.ghorbani@email.kntu.ac.ir.