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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Kaituhi matua:	Noack, Benjamin
Hōputu:	Online
Reo:	Ingarihi
I whakaputaina:	KIT Scientific Publishing 2021
Ngā marau:	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
Urunga tuihono:	35025
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!