Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Remes, C. L."'
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
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
Autor:
Khadanga, Rajendra Kumar, Nayak, Smruti Ranjan, Panda, Sidhartha, Das, Deepa, Prusty, B. Rajanarayan, Sahu, Preeti Ranjan
Publikováno v:
International Transactions on Electrical Energy Systems; 11/15/2022, Vol. 2022, p1-11, 11p
Autor:
Remes, Chrystian Lenon, Gomes, Rodrigo Binotto, Flores, Jeferson Vieira, Libano, Fausto Bastos, Campestrini, Luciola
Publikováno v:
IEEE Transactions on Industrial Electronics; Jan2021, Vol. 68 Issue 1, p544-552, 9p