{
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        "rendered": "New open access paper! Physics-Informed Online Learning of Gray-box Models by Moving Horizon Estimation"
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        "rendered": "<div data-elementor-type=\"wp-post\" data-elementor-id=\"1177\" class=\"elementor elementor-1177\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-12a322a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"12a322a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-52f01b3\" data-id=\"52f01b3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e16d289 elementor-widget elementor-widget-page-title\" data-id=\"e16d289\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;align&quot;:&quot;left&quot;}\" data-widget_type=\"page-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\n\t\t<div class=\"hfe-page-title hfe-page-title-wrapper elementor-widget-heading\">\n\n\t\t\t\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\n\t\t\t\t\t\t\t\t\n\t\t\t\tNew open access paper! Physics-Informed Online Learning of Gray-box Models by Moving Horizon Estimation  \n\t\t\t<\/h2> \n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9c88e81 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9c88e81\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-588042c\" data-id=\"588042c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49b4f23 elementor-widget elementor-widget-text-editor\" data-id=\"49b4f23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The paper, authored by\u00a0Kristoffer L\u00f8wenstein, Daniele Bernardini, Lorenzo Fagiano and Alberto Bemporad, presents a Moving Horizon Estimaiton approach to concurrently estiamte the state of a dynamical system and the parameters of a black-box subsystem that is part of an otherwise physics-based (white box) model. The paper is open access and available <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0947358023000900\"><b>at this link<\/b><\/a>.<\/p><p>The work has been carried out in the framework of the\u00a0<a style=\"background-color: #ffffff; word-spacing: normal;\" href=\"http:\/\/www.elo-x.eu\" target=\"_blank\" rel=\"noopener\"><b>ELO-X project<\/b><\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>",
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        "rendered": "<p>An online approach to concurrently estimate the state and learn black-box nonlinearities<\/p>\n<p> <a class=\"more-link\" href=\"https:\/\/www.sas-lab.deib.polimi.it\/it\/?p=1177\">Read more<\/a><\/p>",
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