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        "rendered": "Smart Manufacturing"
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        "rendered": "<div data-elementor-type=\"wp-post\" data-elementor-id=\"822\" class=\"elementor elementor-822\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bdfbff0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bdfbff0\" 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-c1f5f1d\" data-id=\"c1f5f1d\" 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-c0e1637 elementor-widget elementor-widget-page-title\" data-id=\"c0e1637\" 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\tSmart Manufacturing  \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-44fc53f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"44fc53f\" 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-583c2be\" data-id=\"583c2be\" 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-451f921 elementor-drop-cap-yes elementor-drop-cap-view-default elementor-widget elementor-widget-text-editor\" data-id=\"451f921\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;drop_cap&quot;:&quot;yes&quot;}\" 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<h3>Physics-enhanced Artificial Intelligence for Industrial Process Control<\/h3>\n<p><span style=\"word-spacing: normal;\">The current&nbsp;manufacturing environment places a growing demand on autonomous control and&nbsp;optimization of manufacturing processes, especially for unattended machines.&nbsp;With the development of modern information technology \u2014 and particularly of the new generation of artificial intelligence (AI) technology \u2014 new opportunities are available for the development of intelligent machines and related process controllers.&nbsp;Nevertheless, due to the high complexity of the production context, pure AI applictions are usually not enough, and the extrapolation capability of human operator based-on domain knowledge are still necessary.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c43256f elementor-widget elementor-widget-image\" data-id=\"c43256f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"363\" src=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process-1024x465.jpg\" class=\"attachment-large size-large wp-image-869\" alt=\"\" srcset=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process-1024x465.jpg 1024w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process-300x136.jpg 300w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process-768x349.jpg 768w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process-1536x697.jpg 1536w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2022\/01\/advanced-process.jpg 1710w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Chen et al. (2019)<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47c0cbb elementor-drop-cap-yes elementor-drop-cap-view-default elementor-widget elementor-widget-text-editor\" data-id=\"47c0cbb\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;drop_cap&quot;:&quot;yes&quot;}\" 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><span style=\"color: #000000; font-family: Poppins, sans-serif; font-size: 18px;\">In this context, a new generation of process controllers that integrate physics and domain knowledge with Machine Learning in optimization techniques is investigated. They are based on advanced grey-box models that are continuosly tuned on field data, while preserving the generality and prediction capability of first principle approaches and technologist&#8217;s experience. The related research activities include:<\/span><\/p><ul><li><span style=\"color: #000000; font-family: Poppins, sans-serif;\"><span style=\"font-size: 18px;\">Grey-box models indentification; <\/span><\/span><\/li><li><span style=\"color: #000000; font-family: Poppins, sans-serif;\"><span style=\"font-size: 18px;\">Development of Digital Twins of industrial processes; <\/span><\/span><\/li><li><span style=\"color: #000000; font-family: Poppins, sans-serif;\"><span style=\"font-size: 18px;\">Model-based and data-driven optimization of process parameters. <\/span><\/span><\/li><\/ul>\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>Advanced modeling and optimal control at both plant-wide and single-machine levels<\/p>\n<p> <a class=\"more-link\" href=\"https:\/\/www.sas-lab.deib.polimi.it\/it\/?p=822\">Read more<\/a><\/p>",
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