System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach
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| Titel: | System Identification Beyond the Nyquist Frequency:A Kernel-Regularized Approach |
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| Autoren: | van Haren, Max, Smith, Roy S., Oomen, Tom A.E. |
| Quelle: | van Haren, M, Smith, R S & Oomen, T A E 2025, 'System Identification Beyond the Nyquist Frequency : A Kernel-Regularized Approach', Control Engineering Practice, vol. 164, 106425. https://doi.org/10.1016/j.conengprac.2025.106425 |
| Publikationsjahr: | 2025 |
| Schlagwörter: | system identification, Kernel-regularized estimation, multirate, sampled-data systems, frequency response function (FRF), Frequency response functions |
| Beschreibung: | Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate output measurements and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework. |
| Publikationsart: | article in journal/newspaper |
| Dateibeschreibung: | application/pdf |
| Sprache: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/pissn/0967-0661 |
| DOI: | 10.1016/j.conengprac.2025.106425 |
| Verfügbarkeit: | https://research.tue.nl/en/publications/388d7124-2c9a-49b5-81ee-d8eb5342dd2f https://doi.org/10.1016/j.conengprac.2025.106425 https://pure.tue.nl/ws/files/360474542/SlowSampledTimeDomainFIR.pdf https://pure.tue.nl/ws/files/360545945/1-s2.0-S0967066125001881-main.pdf https://www.scopus.com/pages/publications/105007799790 |
| Rights: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; http://creativecommons.org/licenses/by/4.0/ |
| Dokumentencode: | edsbas.34CEF18B |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate output measurements and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework. |
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| DOI: | 10.1016/j.conengprac.2025.106425 |