期刊
AUTOMATICA
卷 68, 期 -, 页码 314-328出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2016.01.062
关键词
Non-parametric identification; Frequency domain; Identification algorithms
资金
- European Research Council under the European Community / ERC [267381]
- Swedish Research Council [621-2009-4017]
- Linnaeus Center ACCESS at KTH
- Belgian Network DYSCO (Dynamical Systems, Control, and Optimization) - Interuniversity Attraction Poles Programme
- Belgian Science Policy Office
- Scientific Research Foundation Flanders (FWO-Vlaanderen)
- Flemish Government (Methusalem)
- Belgian Government through the Inter university Poles of Attraction (IAP VII) Program
A method for the nonparametric estimation of the Frequency Response Function (FRF) was introduced in Hagg et al. (2011) and later called Transient Impulse Response Modeling Method (TRIMM). We present here a slightly improved version of the original method and, more importantly, we thoroughly analyze the method in terms of bias and variance errors. This analysis leads to guidelines for the choice of the design parameters in TRIMM. Our theoretical expressions for the bias and variance errors are validated by simulations which, at the same time, highlight the effect of the design parameters on the performance of the method. (C) 2016 Elsevier Ltd. All rights reserved.
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