Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jiuhong Xiao"'
Autor:
Weiping Wang, Xin Yu, Xiong Luo, Long Wang, Lixiang Li, Jürgen Kurths, Wenbing Zhao, Jiuhong Xiao
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0204002 (2018)
In this paper, we propose a new model of memristive multidirectional associative memory neural networks, which concludes the time-varying delays in leakage terms via sampled-data control. We use the input delay method to turn the sampling system into
Externí odkaz:
https://doaj.org/article/a763fa9e5b52489d8035ae3a38196567
Publikováno v:
Expert Systems with Applications. 227:120240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b48888b9c980ccfcba383be1242c46be
https://doi.org/10.1016/j.eswa.2023.120240
https://doi.org/10.1016/j.eswa.2023.120240
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:1964-1976
Controlling multiple multi-joint fish-like robots has long captivated the attention of engineers and biologists, for which a fundamental but challenging topic is to robustly track the postures of the individuals in real time. This requires detecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ac4bb0f2971b90bf5722d28ccd5fe1
https://doi.org/10.1109/jas.2021.1004228
https://doi.org/10.1109/jas.2021.1004228
Publikováno v:
Renewable Energy. 174:688-704
Accurate and reliable wind speed forecasting is important for the dispatch and management of wind power generation systems. However, existing forecasting models based on the data decomposition approach only perform time–frequency analysis of wind s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97ecabae5ace5fbb5202617a857576b
https://doi.org/10.1016/j.renene.2021.04.091
https://doi.org/10.1016/j.renene.2021.04.091
Publikováno v:
Computers & Industrial Engineering. 179:109178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98c9583d5dc52d7f8de17a9898d0968
https://doi.org/10.1016/j.cie.2023.109178
https://doi.org/10.1016/j.cie.2023.109178
Publikováno v:
International Journal of Computer Integrated Manufacturing. 34:175-194
As an emerging sharing and collaborative paradigm, the cloud manufacturing system should maximize the satisfaction of stakeholders to promote the long-term development of the system. This article p...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5345dcafd53a18e3bea4888cbc0bcce1
https://doi.org/10.1080/0951192x.2020.1858502
https://doi.org/10.1080/0951192x.2020.1858502
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6204e19e79c427acf95535976261c44
https://doi.org/10.2139/ssrn.4227574
https://doi.org/10.2139/ssrn.4227574
Deep learning model inference on embedded devices is challenging due to the limited availability of computation resources. A popular alternative is to perform model inference on the cloud, which requires transmitting images from the embedded device t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb998a15c3a7fc44c9e7bbb6af7f44f
Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by enabling cooperation among the agents. To enhance the autonomous robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::676570a170854e5efcf23bbef8706bd3
Publikováno v:
Concurrent Engineering. 27:314-330
Cloud manufacturing is an emerging paradigm of global manufacturing networks. Through centralized management and operation of distributed manufacturing services, it can deal with different requirement tasks submitted by multiple customers in parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b30dcfe5c70d0b63720b88296d724c2
https://doi.org/10.1177/1063293x19882744
https://doi.org/10.1177/1063293x19882744