Evers, E., de Jager, B., & Oomen, T.
18th IFAC Symposium on System Identification, SYSID 2018, took place in Stockholm, Sweden
A key step in experimental modeling of mechatronic systems is Frequency Response Function (FRF) identification. Applying these techniques to systems where measurement time is limited leads to a situation where the accuracy is deteriorated by transient dynamics.
The aim of this paper is to develop a local parametric modeling technique that improves the identification accuracy of a range of systems by exploiting prior knowledge. The method is to impose a prior on the approximate locations of the system poles. This leads to better fit results and enables an accurate variance characterization. As a special case, traditional LPM is recovered.
Available online at: https://doi.org/10.1016/j.ifacol.2018.09.127