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Nonlinear state and parameter estimation of spatially distributed systems (Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe)
Published by KIT Scientific Publishing, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
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Nonlinear state and parameter estimation of spatially distributed systems (Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe)
Published by KIT Scientific Publishing, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Nonlinear state and parameter estimation of spatially distributed systems
Published by Karlsruher Institut f�r Technologie 2014-10, 2014
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
US$ 37.14
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Nonlinear state and parameter estimation of spatially distributed systems (Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe)
Published by KIT Scientific Publishing, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
Condition: New.
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Nonlinear state and parameter estimation of spatially distributed systems
Published by Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Okt 2014, 2014
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch.
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Nonlinear state and parameter estimation of spatially distributed systems
Published by Karlsruher Institut Für Technologie, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
US$ 37.07
Convert currencyUS$ 71.41 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Nonlinear State and Parameter Estimation of Spatially Distributed Systems
Published by Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Nonlinear State and Parameter Estimation of Spatially Distributed Systems
Published by Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Nonlinear state and parameter estimation of spatially distributed systems
Published by Karlsruher Institut Für Technologie Mai 2009, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch.
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Nonlinear state and parameter estimation of spatially distributed systems
Published by KIT Scientific Publishing, 2009
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
US$ 37.07
Convert currencyUS$ 57.05 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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/nonlin.
-
Nonlinear state and parameter estimation of spatially distributed systems
Published by Karlsruher Institut für Technologie, 2014
ISBN 10: 3866443706 ISBN 13: 9783866443709
Language: English
US$ 37.07
Convert currencyUS$ 81.51 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketTaschenbuch. Condition: Neu. Nonlinear state and parameter estimation of spatially distributed systems | Felix Sawo | Taschenbuch | 176 S. | Englisch | 2014 | Karlsruher Institut für Technologie | EAN 9783866443709 | Verantwortliche Person für die EU: Karlsruher Institut für Technologie (KIT), Institut AIFB, Kaiserstr. 89, 76133 Karlsruhe, verlag[at]aifb[dot]uni-karlsruhe[dot]de | Anbieter: preigu Print on Demand.
