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Benjamin Noack

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

(Karlsruhe Series on Intelligent Sensor-Actuator-Systems ; 14)

AutorNoack, Benjamin

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731501244

UmfangXVIII, 257 S.

Veröffentlicht
am:
02.01.2014

Erscheinungs-
jahr
2014

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000036878

Abstract

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.