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• W2021337512 abstract "Starting from multiple frequency domain measurements, this paper presents a procedure to formulate a dynamic model of a servo actuator that consists of a nominal model and an allowable model perturbation in the form of a parametric and unstructured uncertainty. A separation between parametric and unstructured uncertainty is achieved by first estimating low order linear parameter models via frequency domain curve fitting followed by a linear Principle Component Analysis (PCA) to bound the parametric variations on the estimated parameters. Remaining differences between the low order parametric models and the measured frequency responses are captured by a bounded unstructured uncertainty on a frequency dependent dual-Youla parameter that uses prior information on a stabilizing feedback controller. The resulting perturbation model is written in a standard Linear Fractional Transformation (LFT) form and the procedure is applied to experimental data obtained from several mechanically equivalent servo actuators in a Linear Tape Open (LTO) drive." @default.
• W2021337512 created "2016-06-24" @default.
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• W2021337512 date "2012-07-01" @default.
• W2021337512 modified "2023-09-27" @default.
• W2021337512 title "Modeling and estimation of servo actuator dynamic variability with application to LTO-drives" @default.
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• W2021337512 doi "https://doi.org/10.1109/aim.2012.6265970" @default.
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