Nonlinear state and parameter estimation of spatially distributed systems
In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for id...
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| Format: | Online |
| Language: | English |
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KIT Scientific Publishing
2021
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| Online Access: | 34479 |
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| _version_ | 1869521115075837952 |
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| author | Sawo, Felix |
| author_browse | Sawo, Felix |
| author_facet | Sawo, Felix |
| author_sort | Sawo, Felix |
| collection | Directory of Open Access Books |
| description | In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion. |
| format | Online |
| id | doab-20.500.12854ir-54761 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-547612023-12-20T18:40:46Z Nonlinear state and parameter estimation of spatially distributed systems Sawo, Felix QA75.5-76.95 sensor network nonlinear estimation distributed-parameter system bic Book Industry Communication::U Computing & information technology::UY Computer science In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion. 2021-02-11T21:08:04Z 2021-02-11T21:08:04Z 2019-07-30 20:01:58 2009 book 34479 18673813 9783866443709 https://directory.doabooks.org/handle/20.500.12854/54761 eng Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866443709 KIT Scientific Publishing 10.5445/KSP/1000011485 10.5445/KSP/1000011485 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866443709 XI, 153 p. open access |
| spellingShingle | QA75.5-76.95 sensor network nonlinear estimation distributed-parameter system bic Book Industry Communication::U Computing & information technology::UY Computer science Sawo, Felix Nonlinear state and parameter estimation of spatially distributed systems |
| title | Nonlinear state and parameter estimation of spatially distributed systems |
| title_full | Nonlinear state and parameter estimation of spatially distributed systems |
| title_fullStr | Nonlinear state and parameter estimation of spatially distributed systems |
| title_full_unstemmed | Nonlinear state and parameter estimation of spatially distributed systems |
| title_short | Nonlinear state and parameter estimation of spatially distributed systems |
| title_sort | nonlinear state and parameter estimation of spatially distributed systems |
| topic | QA75.5-76.95 sensor network nonlinear estimation distributed-parameter system bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 sensor network nonlinear estimation distributed-parameter system bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34479 |
| work_keys_str_mv | AT sawofelix nonlinearstateandparameterestimationofspatiallydistributedsystems |