تقرير
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
| العنوان: | Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics |
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| المؤلفون: | Kouw, Wouter M., Gruijthuijsen, Caspar, Blanken, Lennart, Evers, Enzo, Rogers, Timothy |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Systems and Control, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning |
| الوصف: | We propose a computational procedure for identifying convection in heat transfer dynamics. The procedure is based on a Gaussian process latent force model, consisting of a white-box component (i.e., known physics) for the conduction and linear convection effects and a Gaussian process that acts as a black-box component for the nonlinear convection effects. States are inferred through Bayesian smoothing and we obtain approximate posterior distributions for the kernel covariance function's hyperparameters using Laplace's method. The nonlinear convection function is recovered from the Gaussian process states using a Bayesian regression model. We validate the procedure by simulation error using the identified nonlinear convection function, on both data from a simulated system and measurements from a physical assembly. Comment: 6 pages, 4 figures. Published in the proceedings of the IEEE Conference on Control Technology and Applications 2024 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.01226 |
| رقم الأكسشن: | edsarx.2407.01226 |
| قاعدة البيانات: | arXiv |
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