{"id":204,"date":"2022-05-20T11:17:12","date_gmt":"2022-05-20T09:17:12","guid":{"rendered":"https:\/\/web.umons.ac.be\/seco\/?page_id=204"},"modified":"2022-05-20T11:17:12","modified_gmt":"2022-05-20T09:17:12","slug":"observers-for-distributed-parameter-systems","status":"publish","type":"page","link":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/","title":{"rendered":"Observers for distributed parameter systems"},"content":{"rendered":"<p style=\"text-align: justify\">Distributed parameter systems are described by partial differential equations.<\/p>\n<p style=\"text-align: justify\">Traditionally, the observer problem can be tackled using early or late lumping. In the first approach, the model PDEs are first discretized and a state estimation scheme is designed, while in the second, a distributed parameter observer is first developed and its equations are discretized in a second step.<\/p>\n<p style=\"text-align: justify\">Among our subjects of interest, we can site:<\/p>\n<ul>\n<li style=\"text-align: justify\">sliding mode observers<\/li>\n<li style=\"text-align: justify\">robust observers<\/li>\n<li style=\"text-align: justify\">the use of Proper Orthogonal Decomposition (POD) and collocation for early or late lumping.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Distributed parameter systems are described by partial differential equations. Traditionally, the observer problem can be tackled using early or late lumping. In the first approach, the model PDEs are first discretized and a state estimation scheme is designed, while in the second, a distributed parameter observer is first developed and its equations are discretized in [&hellip;]<\/p>\n","protected":false},"author":95,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-204","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Observers for distributed parameter systems - Service \/ FPMS - Syst\u00e8mes, Estimation, Commande et Optimisation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Observers for distributed parameter systems - Service \/ FPMS - Syst\u00e8mes, Estimation, Commande et Optimisation\" \/>\n<meta property=\"og:description\" content=\"Distributed parameter systems are described by partial differential equations. Traditionally, the observer problem can be tackled using early or late lumping. 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Traditionally, the observer problem can be tackled using early or late lumping. In the first approach, the model PDEs are first discretized and a state estimation scheme is designed, while in the second, a distributed parameter observer is first developed and its equations are discretized in [&hellip;]","og_url":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/","og_site_name":"Service \/ FPMS - Syst\u00e8mes, Estimation, Commande et Optimisation","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/","url":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/","name":"Observers for distributed parameter systems - Service \/ FPMS - Syst\u00e8mes, Estimation, Commande et Optimisation","isPartOf":{"@id":"https:\/\/web.umons.ac.be\/seco\/#website"},"datePublished":"2022-05-20T09:17:12+00:00","breadcrumb":{"@id":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/web.umons.ac.be\/seco\/observers-for-distributed-parameter-systems\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/web.umons.ac.be\/seco\/"},{"@type":"ListItem","position":2,"name":"Observers for distributed parameter systems"}]},{"@type":"WebSite","@id":"https:\/\/web.umons.ac.be\/seco\/#website","url":"https:\/\/web.umons.ac.be\/seco\/","name":"Service \/ FPMS - Syst\u00e8mes, Estimation, Commande et Optimisation","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/web.umons.ac.be\/seco\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"}]}},"lang":"en","translations":{"en":204},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/pages\/204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/comments?post=204"}],"version-history":[{"count":1,"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/pages\/204\/revisions"}],"predecessor-version":[{"id":205,"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/pages\/204\/revisions\/205"}],"wp:attachment":[{"href":"https:\/\/web.umons.ac.be\/seco\/wp-json\/wp\/v2\/media?parent=204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}