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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties: Volume 14 - Brossura
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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
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Condizione: 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 . Codice articolo 5257153
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State Estimation for Distributed Systems with Stochastic and Setmembership Uncertainties Volume 14 Karlsruhe Series on Intelligent SensorActuatorSystems Laboratory
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State Estimation for Distributed Systems with Stochastic and Setmembership Uncertainties Volume 14 Karlsruhe Series on Intelligent SensorActuatorSystems Laboratory
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Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3731501244
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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Taschenbuch. Condizione: 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. Codice articolo 9783731501244
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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Taschenbuch. Condizione: 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. Codice articolo 9783731501244
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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Taschenbuch. Condizione: 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. Codice articolo 9783731501244
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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Taschenbuch. Condizione: 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. Codice articolo 105144446
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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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