Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Johan, Schoukens"'
Autor:
Daniele D'Ambrosio, Johan Schoukens, Tim De Troyer, Miroslav Zivanovic, Mark Charles Runacres
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 5, Pp 922-932 (2022)
Abstract The increasing sophistication of wind turbine design and control generates a need for high‐quality wind data. The relatively limited set of available measured wind data may be extended with computer generated data, for example, to make rel
Externí odkaz:
https://doaj.org/article/e77dcb7b8e8e45799d144ba90997ca6e
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f58a754e3864d3b597358b2f255d47
https://doi.org/10.1109/tim.2022.3222478
https://doi.org/10.1109/tim.2022.3222478
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac7f303b1c3ca7612e6866905e60dc08
https://doi.org/10.1109/tim.2022.3181901
https://doi.org/10.1109/tim.2022.3181901
Autor:
Tim De Troyer, Muhammad Faheem Siddiqui, Mark Runacres, Johan Schoukens, Péter Zoltán Csurcsia, Jan Decuyper
Accurate unsteady aerodynamic models are essential to estimate the forces on rapidly pitching wings and to develop model-based controllers. As system identification is arguably the most successful framework for model predictive control in general, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5694ca2c987529ba11f2aef903c4afe8
https://doi.org/10.1016/j.jfluidstructs.2022.103706
https://doi.org/10.1016/j.jfluidstructs.2022.103706
Publikováno v:
Web of Science
Multivariate functions emerge naturally in a wide variety of data-driven models. Popular choices are expressions in the form of basis expansions or neural networks. While highly effective, the resulting functions tend to be hard to interpret, in part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dbc4f16bf1b6335cd57b00765fa6e7c
http://arxiv.org/abs/2205.11153
http://arxiv.org/abs/2205.11153
Publikováno v:
IFAC-PapersOnLine. 54:451-456
Black-box model structures are dominated by large multivariate functions. Usually a generic basis function expansion is used, e.g. a polynomial basis, and the parameters of the function are tuned given the data. This is a pragmatic and often necessar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da0741b0b73a00de84ed7f91dc544a82
https://doi.org/10.1016/j.ifacol.2021.08.401
https://doi.org/10.1016/j.ifacol.2021.08.401
Autor:
Francesco Santoni, Paolo Carbone, Johan Schoukens, Alessio De Angelis, Antonio Moschitta, Antonella Comuniello
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-12
This article introduces a novel procedure for the estimation of the frequency, amplitude, and phase of a sinusoidal signal after one-bit quantization. The estimator requires knowledge of the quantizer threshold but does not require information about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4667dc3b5787b1e270d2ecf2f7ba11b
https://doi.org/10.1109/tim.2021.3120808
https://doi.org/10.1109/tim.2021.3120808
Publikováno v:
Automatica, 106, 161-167. Elsevier
Bayesian learning techniques have recently garnered significant attention in the system identification community. Originally introduced for low variance estimation of linear impulse response models, the concept has since been extended to the nonlinea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fe8509d361dc03a605b635a7deaee1
https://doi.org/10.1016/j.automatica.2019.05.010
https://doi.org/10.1016/j.automatica.2019.05.010
Publikováno v:
Shock and Vibration, Vol 9, Iss 1-2, Pp 43-56 (2002)
Because a Scanning Laser Vibrometer (SLV) can perform vibration measurements with a high spatial resolution, it is an ideal instrument to accurately locate damage in a structure. Unfortunately, the use of linear damage detection features, as for inst
Externí odkaz:
https://doaj.org/article/80e073fa628d468d88f9fb89ab18d553
This paper shows how to apply frequency-domain system identification of the parameters of a linear system based on both one-bit stimulation and data acquisition. The proposed technique is based on the usage of maximum-length binary sequences as signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf053788e9aa2f80941f77aab34d773
https://doi.org/10.1016/j.ifacol.2021.08.421
https://doi.org/10.1016/j.ifacol.2021.08.421