Nonlinear state and parameter estimation of spatially distributed systems

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
:
Sawo, Felix
Year of Publication:2009
Language:English
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory
Physical Description:1 electronic resource (XI, 153 p. p.)
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spelling 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
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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
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