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Modelling and parameter estimation of dynamic systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that...

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Detalles Bibliográficos
Autores principales: Raol, JR, Girija, G, Singh, J
Lenguaje:eng
Publicado: The Institution of Engineering and Technology 2004
Materias:
Acceso en línea:http://cds.cern.ch/record/2066446
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author Raol, JR
Girija, G
Singh, J
author_facet Raol, JR
Girija, G
Singh, J
author_sort Raol, JR
collection CERN
description Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimization of error between the model response and actual system response. However, with the proliferation of high speed digital computers, elegant and innovative techniques like filter error method, H-infinity and Artificial Neural Networks are finding more and mor
id cern-2066446
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2004
publisher The Institution of Engineering and Technology
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spelling cern-20664462021-04-21T20:02:56Zhttp://cds.cern.ch/record/2066446engRaol, JRGirija, GSingh, JModelling and parameter estimation of dynamic systemsMathematical Physics and MathematicsParameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimization of error between the model response and actual system response. However, with the proliferation of high speed digital computers, elegant and innovative techniques like filter error method, H-infinity and Artificial Neural Networks are finding more and morThe Institution of Engineering and Technologyoai:cds.cern.ch:20664462004
spellingShingle Mathematical Physics and Mathematics
Raol, JR
Girija, G
Singh, J
Modelling and parameter estimation of dynamic systems
title Modelling and parameter estimation of dynamic systems
title_full Modelling and parameter estimation of dynamic systems
title_fullStr Modelling and parameter estimation of dynamic systems
title_full_unstemmed Modelling and parameter estimation of dynamic systems
title_short Modelling and parameter estimation of dynamic systems
title_sort modelling and parameter estimation of dynamic systems
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2066446
work_keys_str_mv AT raoljr modellingandparameterestimationofdynamicsystems
AT girijag modellingandparameterestimationofdynamicsystems
AT singhj modellingandparameterestimationofdynamicsystems