Title: State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Publisher: KIT Scientific Publishing
Publication Date: 2014
Language: English
ISBN 10: 3731501244
ISBN 13: 9783731501244
Binding: Soft cover
Condition: New

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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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