Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Jianchuan Yin"'
Autor:
Zeguo Zhang, Jianchuan Yin
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
ABSTRACTSpatial-temporal current forecasting is indispensable for ocean engineering and marine science exploration, for instance aiding in the conservation and protection of marine ecosystems, planning shipping-routes and determining the length and f
Externí odkaz:
https://doaj.org/article/7e1cb80afe864d9581aad723688c0988
Autor:
Zeguo Zhang, Jianchuan Yin
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Accurate prediction of spatial–temporal extreme wind gust is vital for the wind farm dynamic regulation, the floating wind turbine deployment and its early warning. Deep-learning approaches have been applied for wind prediction to alleviate the com
Externí odkaz:
https://doaj.org/article/ee137d79ca3342d1907bb04dc1e1f563
Autor:
Dongxing Xu, Jianchuan Yin
Publikováno v:
IEEE Access, Vol 11, Pp 32476-32495 (2023)
In solving engineering constrained optimization problems, the conventional black widow optimization algorithm (BWOA) has some shortcomings such as insufficient robustness and slow convergence speed. Therefore, an improved black widow optimization alg
Externí odkaz:
https://doaj.org/article/ef2d1aa1aba54aa598876c7cb3a04fe3
Autor:
Bo Li, Jin Xu, Xinxiang Pan, Rong Chen, Long Ma, Jianchuan Yin, Zhiqiang Liao, Lilin Chu, Zhiqiang Zhao, Jingjing Lian, Haixia Wang
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 3, p 670 (2023)
Due to the recent rapid growth of ocean oil development and transportation, the offshore oil spill risk accident probability has increased unevenly. The marine oil spill poses a great threat to the development of coastal cities. Therefore, effective
Externí odkaz:
https://doaj.org/article/c6e880281c904346ba5f26fb9ee4e027
Publikováno v:
IEEE Access, Vol 9, Pp 147416-147429 (2021)
Tide variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. To improve the accuracy of tide prediction, a modular tide level prediction model (HA-NARX) is propose
Externí odkaz:
https://doaj.org/article/e7e0b7ebc78f418a8388c29d3ac276ba
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4938 (2022)
The early warning monitoring capability of a ship detection algorithm is significant for jurisdictional territorial waters and plays a key role in safeguarding the national maritime strategic rights and interests. In this paper, a Fast Maritime Targe
Externí odkaz:
https://doaj.org/article/17f29c2ea54240bcb0ec99b493e6f021
Publikováno v:
IEEE Access, Vol 6, Pp 14059-14070 (2018)
Suffering from complex sideslip angles, path following control of an under actuated surface vehicle (USV) becomes significantly challenging and remains unresolved. In this paper, a finite-time observer based guidance and control (FOGC) scheme for pat
Externí odkaz:
https://doaj.org/article/e873c6996a664e779fccef56894fffd7
Publikováno v:
IEEE Access, Vol 9, Pp 147416-147429 (2021)
Tide variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. To improve the accuracy of tide prediction, a modular tide level prediction model (HA-NARX) is propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::685d3f8e8b4769762fe5430cd924f759
https://doi.org/10.1109/access.2021.3124250
https://doi.org/10.1109/access.2021.3124250
Hierarchical Path Planning of Unmanned Surface Vehicles: A Fuzzy Artificial Potential Field Approach
Publikováno v:
International Journal of Fuzzy Systems. 23:1797-1808
Under unforeseen circumstances, a hierarchical path planning (HPP) scheme combining global and local tasks of an unmanned surface vehicle (USV) is proposed by devising fuzzy artificial potential field (FAPF). Within the HPP scheme, the elite reservat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f16e37a8a65ab9de70308be4547f8ec
https://doi.org/10.1007/s40815-020-00912-y
https://doi.org/10.1007/s40815-020-00912-y
Autor:
Ning Wang, Jianchuan Yin
Publikováno v:
International Journal of Fuzzy Systems. 23:1809-1822
A variable-fuzzy-predictor-based predictive control approach is presented to solve the dynamic trajectory tracking problem of an autonomous underwater vehicle (AUV) in a three-dimensional underwater environment. To adapt to the characteristics of AUV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd6cfbe356d59d2181969720763a87e
https://doi.org/10.1007/s40815-020-00898-7
https://doi.org/10.1007/s40815-020-00898-7