Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title

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

Publisher

Karlsruher Institut F�r Technologie

Publication Date

2014

Language

English

ISBN 10

3731501244

ISBN 13

9783731501244

Binding

Taschenbuch

Condition

Neu

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Synopsis

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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