Linear Kalman filter for dead time affected measurement signals implemented in a small scale automated guided vehicle

Lütteke F, Franke J (2013)

Publication Type: Conference contribution

Publication year: 2013

Publisher: Springer Verlag

Book Volume: 193 AISC

Pages Range: 193-200

Conference Proceedings Title: Advances in Intelligent Systems and Computing

Event location: KOR

ISBN: 9783642339257

DOI: 10.1007/978-3-642-33926-4_18

Abstract

This paper describes an efficient way to calculate state estimations with a linear Kalman filter, if the measurement signal is subject to a fix dead time. In addition the presented solution can handle measurement signals with arbitrarily high sample times. After the derivation of the algorithm an application with high measurement signal dead time is explained. Finally a simulation depicts the result of the algorithm being implemented on the described application. © 2013 Springer-Verlag.

Authors with CRIS profile

Felix Lütteke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Lütteke, F., & Franke, J. (2013). Linear Kalman filter for dead time affected measurement signals implemented in a small scale automated guided vehicle. In Advances in Intelligent Systems and Computing (pp. 193-200). KOR: Springer Verlag.

MLA:

Lütteke, Felix, and Jörg Franke. "Linear Kalman filter for dead time affected measurement signals implemented in a small scale automated guided vehicle." Proceedings of the 12th International Conference on Intelligent Autonomous Systems, IAS 2012, KOR Springer Verlag, 2013. 193-200.

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