Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bernardo B. Schwedersky"'
Publikováno v:
IEEE transactions on neural networks and learning systems. 33(6)
This article proposes an adaptive practical nonlinear model predictive (NMPC) control algorithm which uses an echo state network (ESN) estimated online as a process model. In the proposed control algorithm, the ESN readout parameters are estimated on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::285257691cd98598da7ae8f28a12535c
https://pubmed.ncbi.nlm.nih.gov/34495851
https://pubmed.ncbi.nlm.nih.gov/34495851
Publikováno v:
Engineering Applications of Artificial Intelligence. 115:105247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ecc8debc5c90390ab80bf652acd723
https://doi.org/10.1016/j.engappai.2022.105247
https://doi.org/10.1016/j.engappai.2022.105247
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
Este artigo apresenta um método de identificação baseado em redes de estado de eco para sistemas dinâmicos não lineres multivariáveis. A rede de estado de eco é uma rede neural recorrente, capaz de modelar dinâmicas não lineares, utilizando
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a55995308c627a01f52517611fc4427
https://doi.org/10.48011/asba.v2i1.1713
https://doi.org/10.48011/asba.v2i1.1713
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
Esse artigo propõe um algoritmo de controle preditivo com predição iterativa não linear e linearização, usando um modelo do tipo Hammerstein-Wiener. No algoritmo proposto, o modelo Hammerstein-Wiener é usado para obter uma resposta base, o qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64eac0212cf5a46f36449551b6cd3a25
https://doi.org/10.48011/asba.v2i1.1715
https://doi.org/10.48011/asba.v2i1.1715
Publikováno v:
IFAC-PapersOnLine. 52:468-473
This paper presents a practical nonlinear model predictive control algorithm using Long Short-Term Memory (LSTM) artificial neural networks as process model. The controller is based on the Practical Nonlinear Predictive Controller (PNMPC) algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bcbb86390d2e51c99d1740d2d3e57f5
https://doi.org/10.1016/j.ifacol.2019.06.106
https://doi.org/10.1016/j.ifacol.2019.06.106
Publikováno v:
Expert Systems with Applications. 192:116297
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f11127da0b295ec698b88c036993b7
https://doi.org/10.1016/j.eswa.2021.116297
https://doi.org/10.1016/j.eswa.2021.116297
Publikováno v:
Engineering Applications of Artificial Intelligence. 108:104596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d965dbad659c809daeb4444d89cdbeb
https://doi.org/10.1016/j.engappai.2021.104596
https://doi.org/10.1016/j.engappai.2021.104596