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State Estimation Distributed Systems by Noack Benjamin (11 results)
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by KIT Scientific Publishing, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.28
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by Karlsruher Institut fur Technologie 2014-09, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
US$ 55.68
Convert currencyUS$ 20.98 shipping from United Kingdom to U.S.A.Quantity: 10 available
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by KIT Scientific Publishing, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
Condition: New. SUPER FAST SHIPPING.
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by KIT Scientific Publishing, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
US$ 73.83
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Sep 2014, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 56.72
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Add to basketTaschenbuch. Condition: Neu. Neuware -State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 290 pp. Englisch.
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by Karlsruher Institut Für Technologie, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
US$ 56.72
Convert currencyUS$ 72.78 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by Karlsruher Institut für Technologie, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
US$ 56.72
Convert currencyUS$ 82.01 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketTaschenbuch. Condition: Neu. State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties | Benjamin Noack | Taschenbuch | 290 S. | Englisch | 2014 | Karlsruher Institut für Technologie | EAN 9783731501244 | 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.
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State Estimation for Distributed Systems with Stochastic and Setmembership Uncertainties Volume 14 Karlsruhe Series on Intelligent SensorActuatorSystems Laboratory
Published by Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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State Estimation for Distributed Systems with Stochastic and Setmembership Uncertainties Volume 14 Karlsruhe Series on Intelligent SensorActuatorSystems Laboratory
Published by Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 61.07
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by Karlsruher Institut Für Technologie Jan 2014, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 56.72
Convert currencyUS$ 26.95 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented. 290 pp. Englisch.
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Published by KIT Scientific Publishing, 2014
ISBN 10: 3731501244 ISBN 13: 9783731501244
Language: English
US$ 56.72
Convert currencyUS$ 57.40 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. State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By .
