<div class="csl-bib-body">
<div class="csl-entry">An, S., Park, G., & Lee, D. (2022). When Prioritization Meets Input-output Linearization: A Prioritized Multi-objective Control and Case Study with Two-link Manipulator. In <i>0743-1546</i> (pp. 2560–2565). IEEE. https://doi.org/10.1109/CDC51059.2022.9992645</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193281
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dc.description.abstract
We discuss a control strategy to handle singularity of input gain matrix in the input-output linearization of a dynamical system with multiple outputs. The key idea is to prioritize the outputs and designate available control inputs to the outputs in the order of priority, by which tracking control for higher priority outputs is possibly maintained even in the presence of the singularity. This strategy of prioritization (called the prioritized control) allows to successfully deal with critical control objectives (such as stability and/or collision avoidance) by assigning higher priority to the relevant outputs. In this paper, we first explain how the prioritization can be applied to the process of input-output linearization and provide a definition of the prioritized control law on the framework of the multi-objective optimization with the lexicographical ordering. Then, a simple case study is performed for a two-link manipulator along with simulation results, where we further discuss an intrinsic degenerate property of prioritization that the prioritized control law can be discontinuous.
en
dc.language.iso
en
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dc.subject
Prioritization
en
dc.subject
Input-output Linearization
en
dc.title
When Prioritization Meets Input-output Linearization: A Prioritized Multi-objective Control and Case Study with Two-link Manipulator
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
0743-1546
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dc.contributor.affiliation
University of Seoul, Korea (the Republic of)
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dc.contributor.affiliation
University of Seoul, Korea (the Republic of)
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dc.relation.isbn
978-1-6654-6760-5
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dc.relation.doi
10.1109/CDC51059.2022
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dc.relation.issn
0743-1546
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dc.description.startpage
2560
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dc.description.endpage
2565
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2576-2370
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tuw.booktitle
2022 IEEE 61st Conference on Decision and Control (CDC)
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tuw.relation.publisher
IEEE
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tuw.researchTopic.id
I3
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tuw.researchTopic.name
Automation and Robotics
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E384-03 - Forschungsbereich Autonomous Systems
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tuw.publisher.doi
10.1109/CDC51059.2022.9992645
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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0002-2446-1667
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tuw.author.orcid
0000-0001-8339-5359
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tuw.author.orcid
0000-0003-1897-7664
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tuw.event.name
2022 IEEE 61st Conference on Decision and Control (CDC)