Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Daniel R. Ramirez"'
Publikováno v:
IEEE Access, Vol 9, Pp 9334-9344 (2021)
Stock price forecasting is a relevant and challenging problem that has attracted a lot of interest from engineers and scientists. In this paper we apply two techniques for stock price and price intervals forecasting. Both techniques, derived from pre
Externí odkaz:
https://doaj.org/article/7fe10f5136734f438eb1fe7bae8ce272
Publikováno v:
IEEE Access, Vol 9, Pp 63865-63875 (2021)
The optimal execution of stock trades is a relevant and interesting problem as it is key in maximizing profits and reducing risks when investing in the stock market. In the case of large orders, the problem becomes even more complex as the impact of
Externí odkaz:
https://doaj.org/article/6022dfd91a0845ef875513b0faf1336d
Autor:
Gerardo Alfonso, Daniel R. Ramirez
Publikováno v:
Mathematics, Vol 8, Iss 8, p 1301 (2020)
In this paper we present a combinatorial nonlinear technical indicator approach for the identification of appropriate combinations of stock technical indicators as inputs in non-linear models. This approach is illustrated with the example of Chinese
Externí odkaz:
https://doaj.org/article/056e4a53aa9d46358b3293ac27c5820b
Autor:
Gerardo Alfonso, Daniel R. Ramirez
Publikováno v:
Symmetry, Vol 12, Iss 8, p 1272 (2020)
Narrow markets are typically considered those that due to limited liquidity or peculiarities in its investor base, such as a particularly high concentration of retail investors, make the stock market less efficient and arguably less predictable. We s
Externí odkaz:
https://doaj.org/article/ff04fbe7cbec4e438ec933d13512157c
Publikováno v:
Energies, Vol 12, Iss 19, p 3713 (2019)
In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current control of a five-phase induction machine (IM). The min-max operator is explored for the first time as an alternative to the
Externí odkaz:
https://doaj.org/article/52b087e8a3e542f79deae59b11ca9b32
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 10:1263-1275
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530db9fd6d705b5492168587abec71ad
https://doi.org/10.1109/jas.2023.123459
https://doi.org/10.1109/jas.2023.123459
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:2849-2861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e6a9d9821818a6059846a294e7c3647
https://doi.org/10.1109/tase.2021.3093699
https://doi.org/10.1109/tase.2021.3093699
Publikováno v:
Advanced Control for Applications. 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794957fa8d646a23511d5ace4a4bf211
https://doi.org/10.1002/adc2.119
https://doi.org/10.1002/adc2.119
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d9c7068e29f64034051753ee33ae54
https://doi.org/10.1109/cdc51059.2022.9993412
https://doi.org/10.1109/cdc51059.2022.9993412
Publikováno v:
IEEE Transactions on Automatic Control. 66:3726-3732
This article presents an extension to the nonlinear model predictive control (MPC) for tracking scheme able to guarantee convergence even in cases of nonconvex output admissible sets. This is achieved by incorporating a convexifying homeomorphism in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b899feb1afc2aec307c6d5a195410b5f
https://doi.org/10.1109/tac.2020.3025297
https://doi.org/10.1109/tac.2020.3025297