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State Estimation for Distributed Systems With Stochastic and Set-membership Uncertainties de Benjamin Noack

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

Autor Benjamin Noack
en Limba Engleză Hardback – 8 oct 2020
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.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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Specificații

ISBN-13: 9781013282010
ISBN-10: 1013282019
Pagini: 284
Dimensiuni: 221 x 286 x 19 mm
Greutate: 0.95 kg
Editura: Saint Philip Street Press