Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yajie Bao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18727-18738 (2024)
Remote sensing image change captioning (RSICC) aims to automatically generate sentences that describe content differences in remote sensing bitemporal images. Recently, attention-based transformers have become a prevalent idea for capturing the featu
Externí odkaz:
https://doaj.org/article/9240d299300c4696b6eb001586680ee0
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:3312-3333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcc2fc8b57df5427162c11f1726b9ad3
https://doi.org/10.1002/rnc.6560
https://doi.org/10.1002/rnc.6560
Autor:
Yajie Bao, Javad Mohammadpour Velni
Publikováno v:
International Journal of Control. 96:1079-1090
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee56558556df7b681063c66370fafc2
https://doi.org/10.1080/00207179.2022.2029945
https://doi.org/10.1080/00207179.2022.2029945
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f071f849801436ac4b15031e68fe3b
https://doi.org/10.1109/cdc51059.2022.9992803
https://doi.org/10.1109/cdc51059.2022.9992803
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8ac9bbdae4e00754889a4eb6be56eb
https://doi.org/10.23919/acc53348.2022.9867798
https://doi.org/10.23919/acc53348.2022.9867798
Publikováno v:
IEEE Control Systems Letters. 5:719-724
This letter presents a variational Bayesian inference Neural Network (BNN) approach to quantify uncertainties in matrix function estimation for the state-space linear parameter-varying (LPV) model identification problem using only inputs/outputs data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1586fb439348dead1e80b35a87938854
https://doi.org/10.1109/lcsys.2020.3005429
https://doi.org/10.1109/lcsys.2020.3005429
Publikováno v:
IFAC-PapersOnLine. 54:705-710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776b0241a9a10efa634ce9a61d4a1852
https://doi.org/10.1016/j.ifacol.2021.11.254
https://doi.org/10.1016/j.ifacol.2021.11.254
Controlling the environmental parameters, including light in greenhouses, increases the crop yield; however, the electricity cost of supplemental lighting can be high. Therefore, the importance of applying cost-effective lighting methods arises. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bdd689443397e5463e74fc95d0d0665
http://arxiv.org/abs/2205.03733
http://arxiv.org/abs/2205.03733
Presence of model uncertainties creates challenges for model-based control design, and complexity of the control design is further exacerbated when coping with nonlinear systems. This paper presents a sliding mode control (SMC) design approach for no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4037d44f7d094f19d54ef2ec6395d3ef
http://arxiv.org/abs/2205.02975
http://arxiv.org/abs/2205.02975
Publikováno v:
IFAC-PapersOnLine. 53:5286-5291
This paper presents an integrated structure of artificial neural networks, named state integrated matrix estimation (SIME), for linear parameter-varying (LPV) model identification. The proposed method simultaneously estimates states and explores stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f1945efe2eeaab1e5ef8ac8e2aca76
https://doi.org/10.1016/j.ifacol.2020.12.1209
https://doi.org/10.1016/j.ifacol.2020.12.1209