{"id":{"repo_id":"freiburg-diss","oai_identifier":"oai:freidok.uni-freiburg.de:213"},"canonical_url":"https://search.dev.ndltd.org/etd/freiburg-diss/oai:freidok.uni-freiburg.de:213","repository":{"repo_id":"freiburg-diss","name":"University of Freiburg","base_url":"https://freidok.uni-freiburg.de/oai/oai2.php"},"display":{"title":"Maximum likelihood estimation in dynamical systems","abstract":"Short description of contents: <br> <br>Dynamical systems are frequently used to model the time evolution of a system. <br>Typically, they depend on unknown parameters and their trajectories <br>are only partially observed. <br>Here maximum likelihood methods are used for the estimation of the <br>parameters from noisy measurements and to construct the unobserved <br>components of a system. <br>These methods take into account the entire information about the <br>deterministic nature of the underlying true trajectory. <br>To circumvent the problem of local minima in the space of parameters, <br>multiple shooting methods are used. <br> <br>In particular, this thesis contains: <br> <br>- an examination of the strengths and limits of the maximum likelihood <br>approach for time-discrete systems, using the logistic map as an example; <br> <br>- an application to measured data from a CO2 laser, using a <br>five-dimensional ordinary differential equation; <br> <br>- an extension of the multiple shooting method to delay differential <br>equations with applications to the Mackey-Glass system and to measured <br>data from an electronic circuit;","abstract_html":"Short description of contents: &lt;br&gt; &lt;br&gt;Dynamical systems are frequently used to model the time evolution of a system. &lt;br&gt;Typically, they depend on unknown parameters and their trajectories &lt;br&gt;are only partially observed. &lt;br&gt;Here maximum likelihood methods are used for the estimation of the &lt;br&gt;parameters from noisy measurements and to construct the unobserved &lt;br&gt;components of a system. &lt;br&gt;These methods take into account the entire information about the &lt;br&gt;deterministic nature of the underlying true trajectory. &lt;br&gt;To circumvent the problem of local minima in the space of parameters, &lt;br&gt;multiple shooting methods are used. &lt;br&gt; &lt;br&gt;In particular, this thesis contains: &lt;br&gt; &lt;br&gt;- an examination of the strengths and limits of the maximum likelihood &lt;br&gt;approach for time-discrete systems, using the logistic map as an example; &lt;br&gt; &lt;br&gt;- an application to measured data from a CO2 laser, using a &lt;br&gt;five-dimensional ordinary differential equation; &lt;br&gt; &lt;br&gt;- an extension of the multiple shooting method to delay differential &lt;br&gt;equations with applications to the Mackey-Glass system and to measured &lt;br&gt;data from an electronic circuit;","abstract_has_math":false,"creators":["Horbelt, Werner"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Honerkamp, Josef"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T02:21:30Z","subjects":["Identifizierung","Modellierung","unbeobachtete Komponenten","hidden variables","vector field reconstruction","parameter identification, multiple shooting"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://freidok.uni-freiburg.de/data/213","outbound_label":"Repository record","outbound_source":"source_url"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Honerkamp, Josef"]},{"key":"dc:creator","label":"Author","values":["Horbelt, Werner"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["DoctoralThesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Identifizierung","Modellierung","unbeobachtete Komponenten","hidden variables","vector field reconstruction","parameter identification, multiple shooting"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Short description of contents: <br> <br>Dynamical systems are frequently used to model the time evolution of a system. <br>Typically, they depend on unknown parameters and their trajectories <br>are only partially observed. <br>Here maximum likelihood methods are used for the estimation of the <br>parameters from noisy measurements and to construct the unobserved <br>components of a system. <br>These methods take into account the entire information about the <br>deterministic nature of the underlying true trajectory. <br>To circumvent the problem of local minima in the space of parameters, <br>multiple shooting methods are used. <br> <br>In particular, this thesis contains: <br> <br>- an examination of the strengths and limits of the maximum likelihood <br>approach for time-discrete systems, using the logistic map as an example; <br> <br>- an application to measured data from a CO2 laser, using a <br>five-dimensional ordinary differential equation; <br> <br>- an extension of the multiple shooting method to delay differential <br>equations with applications to the Mackey-Glass system and to measured <br>data from an electronic circuit;"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Maximum likelihood estimation in dynamical systems","Maximum-Likelihood-Schätzung in dynamischen Systemen"]}]}],"canonical_facts":{"dc:contributor":["Honerkamp, Josef"],"dc:creator":["Horbelt, Werner"],"dc:description.abstract":["Short description of contents: <br> <br>Dynamical systems are frequently used to model the time evolution of a system. <br>Typically, they depend on unknown parameters and their trajectories <br>are only partially observed. <br>Here maximum likelihood methods are used for the estimation of the <br>parameters from noisy measurements and to construct the unobserved <br>components of a system. <br>These methods take into account the entire information about the <br>deterministic nature of the underlying true trajectory. <br>To circumvent the problem of local minima in the space of parameters, <br>multiple shooting methods are used. <br> <br>In particular, this thesis contains: <br> <br>- an examination of the strengths and limits of the maximum likelihood <br>approach for time-discrete systems, using the logistic map as an example; <br> <br>- an application to measured data from a CO2 laser, using a <br>five-dimensional ordinary differential equation; <br> <br>- an extension of the multiple shooting method to delay differential <br>equations with applications to the Mackey-Glass system and to measured <br>data from an electronic circuit;"],"dc:format.medium":["application/pdf"],"dc:subject":["Identifizierung","Modellierung","unbeobachtete Komponenten","hidden variables","vector field reconstruction","parameter identification, multiple shooting"],"dc:title":["Maximum likelihood estimation in dynamical systems","Maximum-Likelihood-Schätzung in dynamischen Systemen"],"dc:type":["DoctoralThesis"]},"updated_at":"2026-07-24T02:21:30Z"}