
Noack, BenjaminState Estimation for Distributed Systems with Stochastic and Set-membership UncertaintiesDissertationsschrift
Kartoniert, KIT Scientific Publishing (2014)
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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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Seitenanzahl
XVIII, 289 S.
Sprache
Englisch
Verlag
KIT Scientific Publishing (2014)
Gewicht
480 g
ISBN-13
978-3-7315-0124-4
Titelnr.
44261828
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