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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Superior document: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
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Year of Publication: | 2009 |
Language: | English |
Series: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory
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Physical Description: | 1 electronic resource (XI, 153 p. p.) |
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Sawo, Felix auth Nonlinear state and parameter estimation of spatially distributed systems KIT Scientific Publishing 2009 1 electronic resource (XI, 153 p. p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory 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. English sensor network nonlinear estimation distributed-parameter system 3-86644-370-6 |
language |
English |
format |
eBook |
author |
Sawo, Felix |
spellingShingle |
Sawo, Felix Nonlinear state and parameter estimation of spatially distributed systems Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
author_facet |
Sawo, Felix |
author_variant |
f s fs |
author_sort |
Sawo, Felix |
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_auth |
Nonlinear state and parameter estimation of spatially distributed systems |
title_new |
Nonlinear state and parameter estimation of spatially distributed systems |
title_sort |
nonlinear state and parameter estimation of spatially distributed systems |
series |
Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
series2 |
Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
publisher |
KIT Scientific Publishing |
publishDate |
2009 |
physical |
1 electronic resource (XI, 153 p. p.) |
isbn |
1000011485 3-86644-370-6 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT sawofelix nonlinearstateandparameterestimationofspatiallydistributedsystems |
status_str |
n |
ids_txt_mv |
(CKB)4920000000101278 (oapen)https://directory.doabooks.org/handle/20.500.12854/54761 (EXLCZ)994920000000101278 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
is_hierarchy_title |
Nonlinear state and parameter estimation of spatially distributed systems |
container_title |
Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory |
_version_ |
1796651467009949697 |
fullrecord |
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