Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability Article Swipe
Mathias Tantau
,
Mark Wielitzka
,
Tobias Ortmaier
,
Lars Perner
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/icma49215.2020.9233569
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/icma49215.2020.9233569
Physically motivated models of servo control systems with coupled mechanics are required for control design, simulation etc. Often, however, the effort of modelling prohibits, these model-based methods in industrial applications. Therefore, all approaches of automatic modelling / model selection are naturally appealing. In this paper a procedure for model selection in frequency domain is proposed that minimizes the Kullback-Leibler distance between model and measurement while considering only those models that are practically identifiable. It aims at mechanical models of servo systems including multiplemass resonators. Criteria for practical identifiability are derived locally from the sensitivity matrix which is calculated for different formulations of the equation error. In experiments with two industry-like testbeds the methodology proves to reveal the characteristic mechanical properties of the two setups. © 2020 IEEE
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/icma49215.2020.9233569
- OA Status
- green
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3096028669
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3096028669Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/icma49215.2020.9233569Digital Object Identifier
- Title
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Frequency Domain Model Selection for Servo Systems ensuring Practical IdentifiabilityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-10-13Full publication date if available
- Authors
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Mathias Tantau, Mark Wielitzka, Tobias Ortmaier, Lars PernerList of authors in order
- Landing page
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https://doi.org/10.1109/icma49215.2020.9233569Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.repo.uni-hannover.de/handle/123456789/10471Direct OA link when available
- Concepts
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Computer science, Identifiability, Sensitivity (control systems), Model selection, Selection (genetic algorithm), Servo, Control theory (sociology), Control engineering, Control (management), Engineering, Artificial intelligence, Machine learning, Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.between | 60 |
| abstract_inverted_index.control | 5, 13 |
| abstract_inverted_index.coupled | 8 |
| abstract_inverted_index.derived | 89 |
| abstract_inverted_index.design, | 14 |
| abstract_inverted_index.locally | 90 |
| abstract_inverted_index.methods | 26 |
| abstract_inverted_index.setups. | 123 |
| abstract_inverted_index.systems | 6, 80 |
| abstract_inverted_index.Criteria | 84 |
| abstract_inverted_index.distance | 59 |
| abstract_inverted_index.equation | 103 |
| abstract_inverted_index.however, | 18 |
| abstract_inverted_index.proposed | 54 |
| abstract_inverted_index.required | 11 |
| abstract_inverted_index.testbeds | 110 |
| abstract_inverted_index.automatic | 34 |
| abstract_inverted_index.different | 99 |
| abstract_inverted_index.frequency | 51 |
| abstract_inverted_index.including | 81 |
| abstract_inverted_index.mechanics | 9 |
| abstract_inverted_index.minimizes | 56 |
| abstract_inverted_index.modelling | 22, 35 |
| abstract_inverted_index.motivated | 1 |
| abstract_inverted_index.naturally | 40 |
| abstract_inverted_index.practical | 86 |
| abstract_inverted_index.procedure | 46 |
| abstract_inverted_index.selection | 38, 49 |
| abstract_inverted_index.Physically | 0 |
| abstract_inverted_index.Therefore, | 30 |
| abstract_inverted_index.appealing. | 41 |
| abstract_inverted_index.approaches | 32 |
| abstract_inverted_index.calculated | 97 |
| abstract_inverted_index.industrial | 28 |
| abstract_inverted_index.mechanical | 76, 118 |
| abstract_inverted_index.prohibits, | 23 |
| abstract_inverted_index.properties | 119 |
| abstract_inverted_index.simulation | 15 |
| abstract_inverted_index.considering | 65 |
| abstract_inverted_index.experiments | 106 |
| abstract_inverted_index.measurement | 63 |
| abstract_inverted_index.methodology | 112 |
| abstract_inverted_index.model-based | 25 |
| abstract_inverted_index.practically | 71 |
| abstract_inverted_index.resonators. | 83 |
| abstract_inverted_index.sensitivity | 93 |
| abstract_inverted_index.formulations | 100 |
| abstract_inverted_index.multiplemass | 82 |
| abstract_inverted_index.applications. | 29 |
| abstract_inverted_index.identifiable. | 72 |
| abstract_inverted_index.industry-like | 109 |
| abstract_inverted_index.characteristic | 117 |
| abstract_inverted_index.identifiability | 87 |
| abstract_inverted_index.Kullback-Leibler | 58 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.13336973 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |