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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Dettagli Bibliografici

Autore principale:	Noack, Benjamin
Natura:	Online
Lingua:	inglese
Pubblicazione:	KIT Scientific Publishing 2021
Soggetti:	QA75.5-76.95 distributed estimation Kalman filter set-membership estimation Bayesian state estimation bic Book Industry Communication::U Computing & information technology::UY Computer science
Accesso online:	35025
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