State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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-me...
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Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
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KIT Scientific Publishing
2014
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Reeks: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
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Online toegang: | DOAB: download the publication DOAB: description of the publication |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
Plaatsingsnummer: |
A1234.567 |
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Kopie 1 | Beschikbaar |