Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Liangjie Ming"'
Publikováno v:
IEEE Access, Vol 8, Pp 228188-228198 (2020)
The online time-variant matrix inversion problem has attracted extensive attention and study, because of its considerable appearance and application in scientific research and industrial production. For various control optimization problems, the dema
Externí odkaz:
https://doaj.org/article/0be908f8280e45649484075401831874
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In this paper, by employing the Zhang neural network (ZNN) method, an effective continuous-time LU decomposition (CTLUD) model is firstly proposed, analyzed, and investigated for solving the time-varying LU decomposition problem. Then, for the conven
Externí odkaz:
https://doaj.org/article/1fa29bc614cc49cd95e08457056cc953
Publikováno v:
Neurocomputing. 448:217-227
This study investigated the problem of QR decomposition for time-varying matrices. We transform the original QR decomposition problem into an equation system using its constraints. Then, we propose a continuous-time QR decomposition (CTQRD) model by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf503c8ee02b51a9a705ab285481d8e
https://doi.org/10.1016/j.neucom.2021.03.014
https://doi.org/10.1016/j.neucom.2021.03.014
Publikováno v:
Neurocomputing. 419:251-258
By applying Zhang neural dynamics method, this study proposed, analyzed, and investigated a continuous-time model for solving the time-varying Schur decomposition (SD) problem. The proposed model is an explicit dynamics model that utilizes the time d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::368e356755c767cef25592bd9f6ab459
https://doi.org/10.1016/j.neucom.2020.07.115
https://doi.org/10.1016/j.neucom.2020.07.115
Publikováno v:
2021 11th International Conference on Intelligent Control and Information Processing (ICICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dbc026b5ea646b08f661689b81f51aa
https://doi.org/10.1109/icicip53388.2021.9642222
https://doi.org/10.1109/icicip53388.2021.9642222
Publikováno v:
IEEE transactions on neural networks and learning systems.
Equivalency is a powerful approach that can transform an original problem into another problem that is relatively more ready to be resolved. In recent years, Zhang neurodynamics equivalency (ZNE), in the form of neurodynamics or recurrent neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b220c81fd06c01ae8a22cfd19bc886d3
https://pubmed.ncbi.nlm.nih.gov/34524962
https://pubmed.ncbi.nlm.nih.gov/34524962
Publikováno v:
IEEE Access, Vol 8, Pp 228188-228198 (2020)
The online time-variant matrix inversion problem has attracted extensive attention and study, because of its considerable appearance and application in scientific research and industrial production. For various control optimization problems, the dema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58169118cf1261004f7c4311810e4c89
https://doi.org/10.1109/access.2020.3045780
https://doi.org/10.1109/access.2020.3045780
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3094875a079cc8c838a939170446c05d
https://doi.org/10.1109/ccdc52312.2021.9601415
https://doi.org/10.1109/ccdc52312.2021.9601415
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In this paper, by employing the Zhang neural network (ZNN) method, an effective continuous-time LU decomposition (CTLUD) model is firstly proposed, analyzed, and investigated for solving the time-varying LU decomposition problem. Then, for the conven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7080d97f368bb15d3623ebd28a0fbeb9
https://doaj.org/article/1fa29bc614cc49cd95e08457056cc953
https://doaj.org/article/1fa29bc614cc49cd95e08457056cc953
Publikováno v:
2020 IEEE International Conference on Mechatronics and Automation (ICMA).
In this paper, a series of time-derivative solvers, i.e., time derivativers, termed Zhang time derivativers (ZTD), is introduced on the basis of Zhang dynamics (ZD) to estimate the time derivatives of a time-varying signal, which is, e.g., a measured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bda275ad7b20e67c4a78458451ae6e4
https://doi.org/10.1109/icma49215.2020.9233556
https://doi.org/10.1109/icma49215.2020.9233556