Kernel-based identification using Lebesgue-sampled data Article Swipe
Rodrigo A. González
,
Koen Tiels
,
Tom Oomen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.automatica.2024.111648
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.automatica.2024.111648
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones where displacement is tracked using incremental encoders, are driven by signals that are only measured when their values cross fixed thresholds in the amplitude domain. This paper introduces a non-parametric estimator of the impulse response and transfer function of continuous-time systems based on such amplitude-equidistant sampling strategy, known as Lebesgue sampling. To this end, kernel methods are developed to formulate an algorithm that adequately takes into account the bounded output uncertainty between the event timestamps, which ultimately leads to more accurate models and more efficient output sampling compared to the equidistantly-sampled kernel-based approach. The efficacy of our proposed method is demonstrated through a mass–spring damper example with encoder measurements and extensive Monte Carlo simulation studies on system benchmarks.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.automatica.2024.111648
- OA Status
- hybrid
- Cited By
- 1
- References
- 47
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- OpenAlex ID
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https://openalex.org/W4393387396Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.automatica.2024.111648Digital Object Identifier
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Kernel-based identification using Lebesgue-sampled dataWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
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2024-04-01Full publication date if available
- Authors
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Rodrigo A. González, Koen Tiels, Tom OomenList of authors in order
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https://doi.org/10.1016/j.automatica.2024.111648Publisher landing page
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.automatica.2024.111648Direct OA link when available
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Algorithm, Computer science, Equidistant, Estimator, Importance sampling, Sampling (signal processing), Control theory (sociology), Mathematics, Monte Carlo method, Artificial intelligence, Detector, Statistics, Control (management), Geometry, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2766311344, https://openalex.org/W2083095049, https://openalex.org/W6677541234, https://openalex.org/W2288838258, https://openalex.org/W2529058332, https://openalex.org/W2163204284, https://openalex.org/W2161083632, https://openalex.org/W2050509466, https://openalex.org/W2049633694, https://openalex.org/W2892893908, https://openalex.org/W1878468619, https://openalex.org/W6684607807, https://openalex.org/W2082365378, https://openalex.org/W2036029516, https://openalex.org/W2080180125, https://openalex.org/W4226156150, https://openalex.org/W4210727784, https://openalex.org/W4388903469, https://openalex.org/W2569103596, https://openalex.org/W2002355073, https://openalex.org/W3194927069, https://openalex.org/W1992323389, https://openalex.org/W6643454898, https://openalex.org/W1976749303, https://openalex.org/W6802933972, https://openalex.org/W1862263964, https://openalex.org/W2021065610, https://openalex.org/W2092766760, https://openalex.org/W2570058665, https://openalex.org/W3003608870, https://openalex.org/W1566125051, https://openalex.org/W2967470398, https://openalex.org/W3118422275, https://openalex.org/W1540155273, https://openalex.org/W1977568008, https://openalex.org/W2973228323, https://openalex.org/W4212820897, https://openalex.org/W6664020228, https://openalex.org/W2053742104, https://openalex.org/W3211041831, https://openalex.org/W4285265010, https://openalex.org/W2951908810, https://openalex.org/W3106380050, https://openalex.org/W4232023503, https://openalex.org/W4365800077, https://openalex.org/W757810109, https://openalex.org/W2316922153 |
| referenced_works_count | 47 |
| abstract_inverted_index.a | 58, 132 |
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| corresponding_author_ids | https://openalex.org/A5027415301 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I83019370 |
| citation_normalized_percentile.value | 0.58361576 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |