2020
DOI: 10.1016/j.automatica.2020.108873
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Non-asymptotic confidence regions for the parameters of EIV systems

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Cited by 7 publications
(1 citation statement)
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“…Other than aircraft flutter model parameter identification, data driven control strategy was applied to design the aircraft flutter controller (Campi et al , 2021). For the case of stochastic aircraft flutter model, predictions based on bounding techniques and local approximations was introduced to construct that aircraft stochastic model (Khorasani and Weyer, 2020). In De Persis and Tesi (2020), asymptotic properties of aircraft flutter model parameter estimation was analyzed in detail, then based on this asymptotic properties, the asymptotic excitation signal was chosen.…”
Section: Introductionmentioning
confidence: 99%
“…Other than aircraft flutter model parameter identification, data driven control strategy was applied to design the aircraft flutter controller (Campi et al , 2021). For the case of stochastic aircraft flutter model, predictions based on bounding techniques and local approximations was introduced to construct that aircraft stochastic model (Khorasani and Weyer, 2020). In De Persis and Tesi (2020), asymptotic properties of aircraft flutter model parameter estimation was analyzed in detail, then based on this asymptotic properties, the asymptotic excitation signal was chosen.…”
Section: Introductionmentioning
confidence: 99%