Linear system identification [1]?[4] is a basic step in modern control design approaches. Starting from experimental data, a linear dynamic time-invariant model is identified to describe the relationship between the reference signal and the output of the system. At the same time, the power spectrum of the unmodeled disturbances is identified to generate uncertainty bounds on the estimated
Original languageEnglish
Pages (from-to)38-69
JournalIEEE Control Systems Magazine
Issue number3
Publication statusPublished - 1 Jun 2016

    Research areas

  • Data models, Distortion measurement, Frequency measurement, Linear systems, Nonlinear distortion, Nonlinear systems, Uncertainty

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