Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications
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DOI: 10.1109/tase.2023.3298806
Abstract: With the development of information technologies, a large number of sensors have been deployed to obtain industrial data. As a result, data-driven approaches have become a crucial means for modeling of distributed parameter systems (DPS).… read more here.
Keywords: modeling distributed; method; physical informed; robust modeling ... See more keywords
Two-Dimensional Spatial Construction for Online Modeling of Distributed Parameter Systems
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DOI: 10.1109/tie.2022.3150099
Abstract: A 2-D spatial construction method is proposed for the online modeling of distributed parameter systems (DPSs), such as battery thermal process. The proposed method can combine the advantages of spectral method and Karhunen–Loève decomposition (KLD)… read more here.
Keywords: online modeling; distributed parameter; modeling distributed; method ... See more keywords
Confidence-Aware Multiscale Learning for Online Modeling of Distributed Parameter Systems With Application to Curing Process
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3212419
Abstract: In industrial applications, the modeling of distributed parameter systems (DPSs) is of significance for process control and monitoring. Due to infinite dimension, spatiotemporal coupled dynamics, nonlinearity, and model uncertainties, however, modeling and online applications of… read more here.
Keywords: distributed parameter; modeling distributed; learning; confidence aware ... See more keywords