Stochastic modelling and identification of industrial robots

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304558" target="_blank" >RIV/68407700:21230/16:00304558 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/COASE.2016.7743426" target="_blank" >http://dx.doi.org/10.1109/COASE.2016.7743426</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/COASE.2016.7743426" target="_blank" >10.1109/COASE.2016.7743426</a>

Result language
angličtina
Original language name
Stochastic modelling and identification of industrial robots
Original language description
This paper focuses on identifying the operations of industrial manipulators that are often realised as robots with six degrees of freedom. The identification is based on the measurement of the power consumption of the whole robot without separating it to the individual axes. Such a case corresponds to industrial use cases. The robot is taken as an unobservable system with respect to its internal states. This disadvantage is overcome using hidden time-varying Markov chains. The results are verified on a simple one-axis manipulator and further discussion about the extension of the model is provided.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the IEEE International Conference on Automation Science and Engineering
ISBN
978-1-5090-2409-4
ISSN
2161-8070
e-ISSN
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Number of pages
6
Pages from-to
342-347
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Fort Worth
Event date
Aug 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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