Identification of continuous-time Hammerstein model using improved Archimedes optimization algorithm

Autor: Muhammad Shafiqul Islam, Mohd Ashraf Ahmad, Cho Bo Wen

Publikováno v: International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 475-493 (2024)

Although various optimization algorithms have been widely employed in multiple applications, the traditional Archimedes optimization algorithm (AOA) has presented imbalanced exploration with exploitation phases and the propensity for local optima ent

Externí odkaz: https://doaj.org/article/d98c026b638248c8b381740735119fdb

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Data informativity for the prediction error identification of MIMO systems : identification of a MEMS gyroscope

Autor: Colin, Kévin

Publikováno v: Other. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEC018⟩

Mathematical models have a crucial place in every engineering field. They can be used for several purposes such as the design of a controller, the prediction, the health monitoring of a system, etc. In this thesis, we deal with system identification

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11e8c4f5bb0d7e01453ea345ad2ab423
https://theses.hal.science/tel-03114994

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Autor: Danilo Comminiello, Aurelio Uncini, Michele Scarpiniti, Raffaele Parisi

Publikováno v: Signal Processing. 100:112-123

In this paper a novel class of nonlinear Hammerstein adaptive filters, consisting of a flexible memory-less function followed by a linear combiner, is presented. The nonlinear function involved in the adaptation process is based on a uniform cubic sp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a482ec28c0d44d21b25e5b66cee734e0
https://doi.org/10.1016/j.sigpro.2014.01.019

Detection of asymmetric control valve stiction from oscillatory data using an extended Hammerstein system identification method

Autor: Qinghua Zhang, Jiandong Wang

Publikováno v: Journal of Process Control
Journal of Process Control, Elsevier, 2014, 24 (1), pp.1-12. ⟨10.1016/j.jprocont.2013.10.012⟩
Journal of Process Control, 2014, 24 (1), pp.1-12. ⟨10.1016/j.jprocont.2013.10.012⟩

International audience; The study in this paper is motivated by the detection of control valves with asymmetric stiction resulting in oscillations in feedback control loops. The joint characterization of the control valve and the controlled process i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af5bc5f0217acc50ed496e385be08131
https://hal.inria.fr/hal-01081901