Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Fuguang Ding"'
Publikováno v:
IEEE Access, Vol 9, Pp 1882-1895 (2021)
The course control problem of hovercraft with yaw rate constraint is studied under the system uncertainty caused by model parameter uncertainties and external disturbances. Firstly, a sliding mode observer is proposed to estimate the system uncertain
Externí odkaz:
https://doaj.org/article/0faa1396cb5d44ef8f450b5bf6dd1783
Publikováno v:
IEEE Access, Vol 7, Pp 184885-184895 (2019)
Considering the sailing characteristics and difficult maneuverability of hovercraft, the three degree-of-freedom (DOF) mathematical model cannot describe effectively the motion of hovercraft. Therefore, a mathematical model of four-DOF motion of hove
Externí odkaz:
https://doaj.org/article/598a564524ed4e6f85120aeb5ada0eda
Publikováno v:
IEEE Access, Vol 7, Pp 144741-144755 (2019)
To solve the problems of full-state constraints in trajectory tracking of surface vessels, a backstepping technique combining a novel integral barrier Lyapunov function (iBLF) with neural network and sliding mode is proposed. Moreover, the control la
Externí odkaz:
https://doaj.org/article/c327c9c5b68046ca8b31005df8c88c4e
Publikováno v:
Complexity, Vol 2021 (2021)
This paper develops an adaptive fixed-time trajectory tracking controller of an underactuated hovercraft with a prescribed performance in the presence of model uncertainties and unknown time-varying environment disturbances. It is the first time that
Externí odkaz:
https://doaj.org/article/28834ddca70d491ab1be1057dc5de01f
Publikováno v:
Complexity, Vol 2020 (2020)
Deep learning-based visual odometry systems have shown promising performance compared with geometric-based visual odometry systems. In this paper, we propose a new framework of deep neural network, named Deep Siamese convolutional neural network (DSC
Externí odkaz:
https://doaj.org/article/7a1777171663431db562bc400448a365
Publikováno v:
IEEE Access, Vol 6, Pp 39827-39838 (2018)
With the challenging noisy measurements, the maneuvering safety and comfort level of hovercraft navigation can be significantly increased by accurate motion parameter estimation. Because traditional hard/soft thresholding schemes have discontinuities
Externí odkaz:
https://doaj.org/article/fa024a05f4f84bc4bff4bc52013efc72
Publikováno v:
Applied Sciences, Vol 10, Iss 20, p 7381 (2020)
This paper develops a totally new appointed-time integral barrier Lyapunov function-based trajectory tracking algorithm for a hovercraft in the presence of multiple performance constraints and model uncertainties. Firstly, an appointed-time performan
Externí odkaz:
https://doaj.org/article/3e893bfe82084d6f98ff5622df2edd57
Publikováno v:
International Journal of Control, Automation and Systems. 19:2784-2796
In this paper, we investigate the problem of safety motion control for an underactuated hovercraft from subject to safety constraint on the states, and model uncertainties. First, a new improved integral barrier Lyapunov function is proposed to const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e470f2fadfd3207d0ec5c68e6b6e8a2
https://doi.org/10.1007/s12555-020-0423-8
https://doi.org/10.1007/s12555-020-0423-8
Publikováno v:
2021 IEEE International Conference on Mechatronics and Automation (ICMA).
In order to solve the problem of thrust allocation when the thruster fails during the dynamic positioning (DP) operation of surface ship, this paper proposes a grouping bias thrust allocation algorithm for the thruster in failure mode. Firstly, the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2703c13fbb0acc026e5e09be2d06a645
https://doi.org/10.1109/icma52036.2021.9512630
https://doi.org/10.1109/icma52036.2021.9512630
Publikováno v:
IEEE Access, Vol 7, Pp 144741-144755 (2019)
To solve the problems of full-state constraints in trajectory tracking of surface vessels, a backstepping technique combining a novel integral barrier Lyapunov function (iBLF) with neural network and sliding mode is proposed. Moreover, the control la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca43eb3973d48f2713a4fc9cf05d7cb
https://ieeexplore.ieee.org/document/8863903/
https://ieeexplore.ieee.org/document/8863903/