@inproceedings{a114326cb5cd4750bd396c85b0960564,
title = "Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter",
abstract = "An adaptive High-Gain observer (AHG) as well as an Extended (EKF) and Unscented Kalman filter (UKF) are implemented for joint state and parameter estimation of a novel multi-axial electromagnetically actuated punch. These observers are compared in terms of convergence and response time to erroneous parameter and state initialization, as well as parameter modifications during operation. The AHG is further analyzed proposing an adaptive gain, which reduces the observer's high sensibility with respect to noise. Simulation results show that AHG is more suitable compared to state-of-the-art EKF and UKF.",
author = "Riva, \{Mauro H.\} and Matthias Dagen and Tobias Ortmaier",
note = "Funding information: The authors would like to thank the German Academic Exchange Service (Deutscher Akademischer Austauschdi-enst) for their financial support.; 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",
year = "2014",
doi = "10.3182/20140824-6-za-1003.01609",
language = "English",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "8558--8563",
editor = "Edward Boje and Xiaohua Xia",
booktitle = "19th IFAC World Congress IFAC 2014, Proceedings",
address = "Austria",
}