Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Shangjie Frank Ma"'
Publikováno v:
International Journal of Control. 95:3101-3117
This paper presents a data-driven control design framework to achieve robust tracking without exploiting mathematical model of nonlinear underactuated mechanical systems (UMS). The method leverages...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9c8269a2fc6c93326c7bb0717b401f9
https://doi.org/10.1080/00207179.2021.1954696
https://doi.org/10.1080/00207179.2021.1954696
Publikováno v:
International Journal of Dynamics and Control. 8:1063-1079
Neural networks and deep learning are changing the way that artificial intelligence is being done. Efficiently choosing a suitable network architecture and fine tuning its hyper-parameters for a specific dataset is a time-consuming task given the sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93038fd92509c2c1f343ea0749721b86
https://doi.org/10.1007/s40435-020-00708-w
https://doi.org/10.1007/s40435-020-00708-w
Publikováno v:
International Journal of Control. 95:114-125
This paper presents a data-driven algorithm for identification of locally differentially flat output from system output measurements. No detailed mathematical model of the system is needed. Trial o...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c363672bb5ad286c9a8ca5c38b19681c
https://doi.org/10.1080/00207179.2020.1779960
https://doi.org/10.1080/00207179.2020.1779960