Identification of Additive Multivariable Continuous-Time Systems Article Swipe
Maarten van der Hulst
,
Rodrigo A. González
,
Koen Classens
,
Nic Dirkx
,
Jeroen van de Wijdeven
,
Tom Oomen
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/lcsys.2025.3575179
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/lcsys.2025.3575179
Multivariable parametric models are critical for designing, controlling, and optimizing the performance of engineered systems. The main aim of this letter is to develop a parametric identification strategy that delivers accurate and physically relevant models of multivariable systems using time-domain data. The introduced approach adopts an additive model structure, providing a parsimonious and interpretable representation of many physical systems, and applies a refined instrumental variable-based estimation algorithm. The developed identification method enables the estimation of multivariable parametric additive models in continuous time and is applicable to both open- and closed-loop systems. The performance of the estimator is demonstrated through numerical simulations and experimentally validated on a flexible beam system.
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https://doi.org/10.1109/lcsys.2025.3575179Digital Object Identifier
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Identification of Additive Multivariable Continuous-Time SystemsWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-01Full publication date if available
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Maarten van der Hulst, Rodrigo A. González, Koen Classens, Nic Dirkx, Jeroen van de Wijdeven, Tom OomenList of authors in order
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https://doi.org/10.1109/lcsys.2025.3575179Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2504.01639Direct OA link when available
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.are | 3 |
| abstract_inverted_index.for | 5 |
| abstract_inverted_index.the | 10, 72, 94 |
| abstract_inverted_index.beam | 107 |
| abstract_inverted_index.both | 86 |
| abstract_inverted_index.main | 16 |
| abstract_inverted_index.many | 56 |
| abstract_inverted_index.that | 28 |
| abstract_inverted_index.this | 19 |
| abstract_inverted_index.time | 81 |
| abstract_inverted_index.data. | 40 |
| abstract_inverted_index.model | 47 |
| abstract_inverted_index.open- | 87 |
| abstract_inverted_index.using | 38 |
| abstract_inverted_index.adopts | 44 |
| abstract_inverted_index.letter | 20 |
| abstract_inverted_index.method | 70 |
| abstract_inverted_index.models | 2, 34, 78 |
| abstract_inverted_index.applies | 60 |
| abstract_inverted_index.develop | 23 |
| abstract_inverted_index.enables | 71 |
| abstract_inverted_index.refined | 62 |
| abstract_inverted_index.system. | 108 |
| abstract_inverted_index.systems | 37 |
| abstract_inverted_index.through | 98 |
| abstract_inverted_index.accurate | 30 |
| abstract_inverted_index.additive | 46, 77 |
| abstract_inverted_index.approach | 43 |
| abstract_inverted_index.critical | 4 |
| abstract_inverted_index.delivers | 29 |
| abstract_inverted_index.flexible | 106 |
| abstract_inverted_index.physical | 57 |
| abstract_inverted_index.relevant | 33 |
| abstract_inverted_index.strategy | 27 |
| abstract_inverted_index.systems, | 58 |
| abstract_inverted_index.systems. | 14, 90 |
| abstract_inverted_index.developed | 68 |
| abstract_inverted_index.estimator | 95 |
| abstract_inverted_index.numerical | 99 |
| abstract_inverted_index.providing | 49 |
| abstract_inverted_index.validated | 103 |
| abstract_inverted_index.algorithm. | 66 |
| abstract_inverted_index.applicable | 84 |
| abstract_inverted_index.continuous | 80 |
| abstract_inverted_index.designing, | 6 |
| abstract_inverted_index.engineered | 13 |
| abstract_inverted_index.estimation | 65, 73 |
| abstract_inverted_index.introduced | 42 |
| abstract_inverted_index.optimizing | 9 |
| abstract_inverted_index.parametric | 1, 25, 76 |
| abstract_inverted_index.physically | 32 |
| abstract_inverted_index.structure, | 48 |
| abstract_inverted_index.closed-loop | 89 |
| abstract_inverted_index.performance | 11, 92 |
| abstract_inverted_index.simulations | 100 |
| abstract_inverted_index.time-domain | 39 |
| abstract_inverted_index.controlling, | 7 |
| abstract_inverted_index.demonstrated | 97 |
| abstract_inverted_index.instrumental | 63 |
| abstract_inverted_index.parsimonious | 51 |
| abstract_inverted_index.Multivariable | 0 |
| abstract_inverted_index.interpretable | 53 |
| abstract_inverted_index.multivariable | 36, 75 |
| abstract_inverted_index.experimentally | 102 |
| abstract_inverted_index.identification | 26, 69 |
| abstract_inverted_index.representation | 54 |
| abstract_inverted_index.variable-based | 64 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.23584859 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |