https://github.com/kpetridis24/offline-estimation

Uncertain parameter estimation on Grey-Box Dynamic Systems
https://github.com/kpetridis24/offline-estimation

grey-box input-output-analysis least-squares mean-square-error modeling parameter-estimation simulation

Last synced: 5 days ago
JSON representation

Uncertain parameter estimation on Grey-Box Dynamic Systems

• Host: GitHub
• URL: https://github.com/kpetridis24/offline-estimation
• Owner: kpetridis24
• Created: 2022-04-02T14:41:30.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-02T14:49:53.000Z (about 4 years ago)
• Last Synced: 2024-01-29T07:36:17.512Z (over 2 years ago)
• Topics: grey-box, input-output-analysis, least-squares, mean-square-error, modeling, parameter-estimation, simulation
• Language: MATLAB
• Homepage:
• Size: 337 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# offline-parameter-estimation

Uncertain parameter estimation on Grey-Box Dynamic Systems

The systems modeled and simulated under this project are

- Mass-spring-Damper Dynamic System

- RLC circuit Dynamic System

After modeling each system and formulating the mathematical desription such that they are solvable by the 

**Least Squares** method, the uncertain parameters are estimated via minimization of the error between

the model and the real system. All analysis regarding the simulations, the theoretical mathematical backround,

the precision of the results, and their sensitivity after inserting false, outlier values into the measurements 

are all extensively discussed topics of the report paper.