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Predictive and Anisotropic Control Design for Robot Motion under Stochastic Disturbances
- 1.0506011 - ÚTIA 2020 RIV IT eng C - Conference Paper (international conference)
Belda, Květoslav - Tchaikovsky, M.
Predictive and Anisotropic Control Design for Robot Motion under Stochastic Disturbances.
Proceedings of the 17th European Control Conference. Naples: European Union Control Association (EUCA), 2019, s. 1374-1379. ISBN 978-3-907144-01-5.
[European Control Conference 2019 /17./. Naples (IT), 25.06.2019-28.06.2019]
R&D Projects: GA TA ČR(CZ) TN01000024
Institutional support: RVO:67985556
Keywords : Predictive Control * Anisotropic Control * Motion Control * Stochastic Disturbances
OECD category: Robotics and automatic control
http://library.utia.cas.cz/separaty/2019/AS/belda-0506011.pdf
The paper deals with the design and comparison of model-based predictive control and anisotropic control formulated for the motion control of industrial robots-manipulators. Stochastic disturbances, usually occurring and entering a control process, are taken into account in the design to attenuate their undesirable influences. The explanation refers a specific online control parameter tuning for predictive control and introduces a single-pass offline optimization for anisotropic control. The aim is to point out features of the proposed advanced approaches in transition situations.
Permanent Link: http://hdl.handle.net/11104/0297321
Number of the records: 1