SESUP: Testing tool for state estimation algorithms for systems with uncertain parameters

Published: 07-12-2020| Version 1 | DOI: 10.17632/69529js9vr.1
Contributor:
Jaroslav Tabacek

Description

SESUP is the application created to demonstrate the novel algorithms that reduce the prediction error sensitivity to parameters in Kalman filter. The application allows the user to test the exact desensitized Kalman filter algorithms and the state-of-the-art state estimation algorithms for systems with uncertain parameters. The algorithms are tested using Monte Carlo simulations. The application includes predefined example system, which was used to generate results for the paper. The results depicted in the paper can be browsed by importing the provided datasets into application.

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