Abstract
An adaptive algorithm for identification of the unknown parameters of the dynamic environment in contact tasks is proposed in this paper using the augmented least square estimation method. An approximate environment digital simulator for the continuous environment dynamics is derived, i.e. a discrete transfer function which has the approximately the same characteristics as the continuous environment dynamics is found. For solving this task a method named hold equivalence is used. The general model of the environment dynamics is given and the case when the environment dynamics is represented by second order models with parameter uncertainties is considered. (Author)
Tuneski, Atanasko;
Babunski, Darko
[1]
- Faculty of Mechanical Engineering, 'St. Cyril and Methodius' University, Skopje (Macedonia, The Former Yugoslav Republic of)
Citation Formats
Tuneski, Atanasko, and Babunski, Darko.
Adaptive Algorithm For Identification Of The Environment Parameters In Contact Tasks.
Macedonia, The Former Yugoslav Republic of: N. p.,
2003.
Web.
Tuneski, Atanasko, & Babunski, Darko.
Adaptive Algorithm For Identification Of The Environment Parameters In Contact Tasks.
Macedonia, The Former Yugoslav Republic of.
Tuneski, Atanasko, and Babunski, Darko.
2003.
"Adaptive Algorithm For Identification Of The Environment Parameters In Contact Tasks."
Macedonia, The Former Yugoslav Republic of.
@misc{etde_20733545,
title = {Adaptive Algorithm For Identification Of The Environment Parameters In Contact Tasks}
author = {Tuneski, Atanasko, and Babunski, Darko}
abstractNote = {An adaptive algorithm for identification of the unknown parameters of the dynamic environment in contact tasks is proposed in this paper using the augmented least square estimation method. An approximate environment digital simulator for the continuous environment dynamics is derived, i.e. a discrete transfer function which has the approximately the same characteristics as the continuous environment dynamics is found. For solving this task a method named hold equivalence is used. The general model of the environment dynamics is given and the case when the environment dynamics is represented by second order models with parameter uncertainties is considered. (Author)}
place = {Macedonia, The Former Yugoslav Republic of}
year = {2003}
month = {Jul}
}
title = {Adaptive Algorithm For Identification Of The Environment Parameters In Contact Tasks}
author = {Tuneski, Atanasko, and Babunski, Darko}
abstractNote = {An adaptive algorithm for identification of the unknown parameters of the dynamic environment in contact tasks is proposed in this paper using the augmented least square estimation method. An approximate environment digital simulator for the continuous environment dynamics is derived, i.e. a discrete transfer function which has the approximately the same characteristics as the continuous environment dynamics is found. For solving this task a method named hold equivalence is used. The general model of the environment dynamics is given and the case when the environment dynamics is represented by second order models with parameter uncertainties is considered. (Author)}
place = {Macedonia, The Former Yugoslav Republic of}
year = {2003}
month = {Jul}
}