Abstract
The information of spatial distribution of unmeasured disturbances is utilized in controller and observer design. In reality, due to the complexity in the systems, this information is seldom known a priori. Our focus in this study is to estimate the spatial distribution of disturbances from available measurements using a correlations approach that is developed in Kalman filter theory. In this approach one begins by “guessing” a filter gain and then the approach calculates the disturbance covariance matrices from analysis of the resulting innovations. This paper reviews the innovations correlations approach and examines its merit to localize the disturbances.
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© 2015 The Society for Experimental Mechanics, Inc.
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Bulut, Y., Usluogullari, O.F., Temugan, A. (2015). Estimation of Spatial Distribution of Disturbances. In: Allemang, R. (eds) Special Topics in Structural Dynamics, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15048-2_4
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DOI: https://doi.org/10.1007/978-3-319-15048-2_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15047-5
Online ISBN: 978-3-319-15048-2
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