kr1zzo / estimation-theory-laboratory-exercises

This repository is a part of the Estimation theory laboratory exercises at the Faculty of Electrical Engineering and Computing, University of Zagreb

Estimation Theory Laboratory Exercises - 2022/2023

Description

Course : Estimation Theory

This repository contains the laboratory exercises for the Estimation Theory course at the Faculty of Electrical Engineering and Computing, University of Zagreb. The repository is based on MATLAB and Simulink and contains scripts and materials from the system identification and estimation theory.

Content

1. Linear Estimation in Static Systems

• Least Square (LS) Estimator
• Weighted Least Squares (WLS) Estimator
• Weighted Least Squares (WLS) Estimator

2. Vehicle Localization using Global Positioning System

• Discrete Linear Kalman Filter (KF)

3. Satellite Position Estimation in Planar Orbit around Earth

• Linearized Kalman Filter (LKF)
• Discrete Extended Kalman Filter (EKF)
• Iterative Extended Kalman Filter (IEKF)

4. Nonparametric Identification Procedures

• Identification of a Three-Mass Electromechanical System based on Fourier and Spectral Analysis
• Identification of a Three-Mass Electromechanical System based on Correlation Analysis

5. Parametric Identification Procedures

• Single-Mass Mechanical System
• Identification of a Single-Mass Mechanical System using Non-Recursive Parametric Methods
• Identification of a Single-Mass Mechanical System using Recursive Parametric Methods

Credits

© Faculty of Electrical Engineering and Computing, University of Zagreb, 2022/2023

Contributors names and contact info

Author	GitHub	e-mail
Enio Krizman	@kr1zzo	[email protected]

Academic title	Lecturer
Akademik Prof. Dr. Sc.	Ivan Petrović
Prof. Dr. Sc.	Ivan Marković
Prof. Dr. Sc.	Mario Vašak