Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376464298> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4376464298 endingPage "48168" @default.
- W4376464298 startingPage "48158" @default.
- W4376464298 abstract "Many applications involving physical systems, such as system control or fault detection, call for a behavioral, black-box, or digital twin of the real system. By observing input-output pairs, a nonlinear system’s black-box twinning model can be built, thus enabling real-time accurate estimation of the system’s health and status. We propose a modeling approach that can be implemented with little hardware resources and predicts system output with acceptable accuracy for a wide range of applications in the IoT and Industry 4.0 application domains, such as cloud and distributed predictive control, maintenance, fault detection, and model drift avoidance. This approach consists of building a compact numerical model, based on the concept of sum-decomposability, with reduced computational complexity and memory requirements, well suited for microcontroller-based IoT applications. The black-box modeling theory, the sizing process, and the learning method are reported. The outputs of two examples of non-linear systems are replicated in real-time using a pioneer experimental setup built around a microcontroller. According to experimental results, online learning and prediction are performed at 1 kS/s with a prediction error comparable to the resolution of the digitalized input-output data. The reduced size of the obtained model calls for real-time sharing and update with cloud and edge-based simulation ecosystems enabling a near real-time digital twinning of field systems." @default.
- W4376464298 created "2023-05-14" @default.
- W4376464298 creator A5011370212 @default.
- W4376464298 creator A5025823896 @default.
- W4376464298 creator A5055171060 @default.
- W4376464298 creator A5085340829 @default.
- W4376464298 date "2023-01-01" @default.
- W4376464298 modified "2023-09-25" @default.
- W4376464298 title "Online Black-Box Modeling for the IoT Digital Twins Through Machine Learning" @default.
- W4376464298 cites W1992249670 @default.
- W4376464298 cites W1994807773 @default.
- W4376464298 cites W2050664739 @default.
- W4376464298 cites W2053186076 @default.
- W4376464298 cites W2058804598 @default.
- W4376464298 cites W2073507324 @default.
- W4376464298 cites W2092766760 @default.
- W4376464298 cites W2098398123 @default.
- W4376464298 cites W2112408600 @default.
- W4376464298 cites W2138484437 @default.
- W4376464298 cites W2139923370 @default.
- W4376464298 cites W2149350706 @default.
- W4376464298 cites W2159108768 @default.
- W4376464298 cites W2163922914 @default.
- W4376464298 cites W2518003110 @default.
- W4376464298 cites W2765128778 @default.
- W4376464298 cites W2805290893 @default.
- W4376464298 cites W2905158674 @default.
- W4376464298 cites W2954713261 @default.
- W4376464298 cites W2985462853 @default.
- W4376464298 cites W3023935494 @default.
- W4376464298 cites W3041101137 @default.
- W4376464298 cites W3087736720 @default.
- W4376464298 cites W3096595861 @default.
- W4376464298 cites W3129920713 @default.
- W4376464298 cites W4205626291 @default.
- W4376464298 cites W4286781802 @default.
- W4376464298 doi "https://doi.org/10.1109/access.2023.3275447" @default.
- W4376464298 hasPublicationYear "2023" @default.
- W4376464298 type Work @default.
- W4376464298 citedByCount "0" @default.
- W4376464298 crossrefType "journal-article" @default.
- W4376464298 hasAuthorship W4376464298A5011370212 @default.
- W4376464298 hasAuthorship W4376464298A5025823896 @default.
- W4376464298 hasAuthorship W4376464298A5055171060 @default.
- W4376464298 hasAuthorship W4376464298A5085340829 @default.
- W4376464298 hasBestOaLocation W43764642981 @default.
- W4376464298 hasConcept C111919701 @default.
- W4376464298 hasConcept C113775141 @default.
- W4376464298 hasConcept C119857082 @default.
- W4376464298 hasConcept C149635348 @default.
- W4376464298 hasConcept C154945302 @default.
- W4376464298 hasConcept C173018170 @default.
- W4376464298 hasConcept C180932941 @default.
- W4376464298 hasConcept C41008148 @default.
- W4376464298 hasConcept C79403827 @default.
- W4376464298 hasConcept C79974875 @default.
- W4376464298 hasConcept C94966114 @default.
- W4376464298 hasConcept C98045186 @default.
- W4376464298 hasConceptScore W4376464298C111919701 @default.
- W4376464298 hasConceptScore W4376464298C113775141 @default.
- W4376464298 hasConceptScore W4376464298C119857082 @default.
- W4376464298 hasConceptScore W4376464298C149635348 @default.
- W4376464298 hasConceptScore W4376464298C154945302 @default.
- W4376464298 hasConceptScore W4376464298C173018170 @default.
- W4376464298 hasConceptScore W4376464298C180932941 @default.
- W4376464298 hasConceptScore W4376464298C41008148 @default.
- W4376464298 hasConceptScore W4376464298C79403827 @default.
- W4376464298 hasConceptScore W4376464298C79974875 @default.
- W4376464298 hasConceptScore W4376464298C94966114 @default.
- W4376464298 hasConceptScore W4376464298C98045186 @default.
- W4376464298 hasLocation W43764642981 @default.
- W4376464298 hasOpenAccess W4376464298 @default.
- W4376464298 hasPrimaryLocation W43764642981 @default.
- W4376464298 hasRelatedWork W154189287 @default.
- W4376464298 hasRelatedWork W1855700431 @default.
- W4376464298 hasRelatedWork W1984273188 @default.
- W4376464298 hasRelatedWork W2047881532 @default.
- W4376464298 hasRelatedWork W2100618653 @default.
- W4376464298 hasRelatedWork W2362713694 @default.
- W4376464298 hasRelatedWork W2383532021 @default.
- W4376464298 hasRelatedWork W2727407240 @default.
- W4376464298 hasRelatedWork W2997982138 @default.
- W4376464298 hasRelatedWork W3033197410 @default.
- W4376464298 hasVolume "11" @default.
- W4376464298 isParatext "false" @default.
- W4376464298 isRetracted "false" @default.
- W4376464298 workType "article" @default.