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Robust Activation Strategy of Scanning Sensors via Sequential Design in Parameter Estimation of Distributed Systems

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

We study the problem of determining an activation strategy of discrete scanning sensors so as to maximize the accuracy of parameter estimation of a distributed system defined in a given multidimensional domain. Usually, when designing an identification experiment for nonlinear models, the uncertainty of nominal parameters has to be taken into account. To this end, an approach involving sequential design techniques is proposed, where there is no particular information about the parameter distribution. A scalar measure of the Fisher information matrix is used as the design criterion. The setting examined here corresponds to situations where there are many sensors and only some of them are activated during a given time interval. Additionally, the routine based on the extension of Fedorov’s idea of directly constrained design measures is proposed and verified by a computer simulation regarding air pollution process.

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© 2004 Springer-Verlag Berlin Heidelberg

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Patan, M., Uciński, D. (2004). Robust Activation Strategy of Scanning Sensors via Sequential Design in Parameter Estimation of Distributed Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_101

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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