Zobrazeno 1 - 5
of 5
pro vyhledávání: '"de Novaes, Y. R."'
Publikováno v:
Engineering Applications of Artificial Intelligence 123 (2023) 106490
The simplified modeling of a complex system allied with a low-order controller structure can lead to poor closed-loop performance and robustness. A feasible solution is to avoid the necessity of a model by using data for the controller design. The Vi
Externí odkaz:
http://arxiv.org/abs/2111.02212
This paper proposes a method for estimating the norms of a system in a pure data-driven fashion based on their identified Impulse Response (IR) coefficients. The calculation of norms is briefly reviewed and the main expressions for the IR-based estim
Externí odkaz:
http://arxiv.org/abs/2110.12310
The wide range of operation of bridgeless rectifiers requires a control technique that guarantee robustness. Linear Power Factor Correction (PFC) control techniques, although effective, cannot guarantee such robustness. Nonlinear techniques such as o
Externí odkaz:
http://arxiv.org/abs/2110.09996
This work proposes the inclusion of an $\mathcal{H}_{\infty}$ robustness constraint to the Virtual Reference Feedback Tuning (VRFT) cost function, which is solved by metaheuristic optimization with only a single batch of data (one-shot). The $\mathca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca014999dcd99ec2742f6a8c8cd8da4
http://arxiv.org/abs/2111.02212
http://arxiv.org/abs/2111.02212
More “green” power provided by Distributed Generation will enter into the European electricity network in the near future. In order to control the power flow and to ensure proper and secure operation of this future grid, with an increased level o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::8a7e5be70539df86d3c0c56329b2f6fa
https://infoscience.epfl.ch/record/125626
https://infoscience.epfl.ch/record/125626