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Nonparametric Identification of Linear Time-Varying Systems using Gaussian Process Regression

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Linear time-varying systems are a class of systems, the dynamics of which evolve in time. This results in a time-varying frequency response function where each frequency has a time-varying gain.… Click to show full abstract

Linear time-varying systems are a class of systems, the dynamics of which evolve in time. This results in a time-varying frequency response function where each frequency has a time-varying gain. In classical identification techniques, basis functions are employed to fit these time-varying gains. In this paper a new method based on Gaussian process regression is presented. The advantage of the proposed method is a more convenient model structure and model order selection.

Keywords: time; linear time; process regression; varying systems; time varying; gaussian process

Journal Title: IFAC-PapersOnLine
Year Published: 2020

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