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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties

By:

Noack, Benjamin [auth]

Material type: Article

ArticleLanguage: English Publication details: KIT Scientific Publishing 2014Description: 1 electronic resource (XVIII, 257 p. p.)ISBN:

KSP/1000036878
9783731501244

Subject(s):

Online resources:

Summary: 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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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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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.

Creative Commons https://creativecommons.org/licenses/by-sa/4.0/ cc https://creativecommons.org/licenses/by-sa/4.0/

English

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