Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Zhenzhong Chu"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 11713-11731 (2023)
A fast optimization method based on the Gauss pseudospectral method (GPM) and particle swarm optimization (PSO) is studied for trajectory optimization of obstacle-avoidance navigation of autonomous underwater vehicles (AUVs). A multi-constraint traje
Externí odkaz:
https://doaj.org/article/c5b0d0c1e0e243fa822bc0a3645f161e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 12617-12631 (2022)
In this paper, we describe an approach based on improved Hidden Markov Model (HMM) for fault diagnosis of underwater thrusters in complex marine environments. First, considering the characteristics of thruster data, we design a three-step data prepro
Externí odkaz:
https://doaj.org/article/39b0de9ab12d4720a75e3526b8bf6497
Autor:
Yuhao Liu, Zhenzhong Chu
Publikováno v:
Symmetry, Vol 15, Iss 4, p 885 (2023)
Many Symmetry blocks were proposed in the Single Image Super-Resolution (SISR) task. The Attention-based block is powerful but costly on non-local features, while the Convolutional-based block is good at efficiently handling the local features. Howev
Externí odkaz:
https://doaj.org/article/e4f4d27eaab54d5197e1bdcdad6596c1
Publikováno v:
Brodogradnja, Vol 71, Iss 3, Pp 71-87 (2020)
In this paper, a nonlinear adaptive heading controller is developed for an underactuated surface vessel with constrained input and sideslip angle compensation. The controller design is accomplished in a framework of backstepping technique. First, to
Externí odkaz:
https://doaj.org/article/92ea8485baa744e4963375bc3b0e9ae2
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 4, p 740 (2023)
To address the challenge of unmanned underwater vehicle (UUV) autonomous navigation in long-distance underwater tunnel detection tasks and improve the control performance of its heading control system, a method of autonomous heading planning and cont
Externí odkaz:
https://doaj.org/article/0cb82ff538b44b83bc9eb7a8a799fc2b
Publikováno v:
Sensors, Vol 23, Iss 4, p 2350 (2023)
This paper aims to address the obstacle avoidance problem of autonomous underwater vehicles (AUVs) in complex environments by proposing a trajectory planning method based on the Gauss pseudospectral method (GPM). According to the kinematics and dynam
Externí odkaz:
https://doaj.org/article/5a5ab8bca3fb4d4c97358be568c89fe4
Publikováno v:
Sensors, Vol 22, Iss 24, p 9604 (2022)
Recent advances in Single Image Super-Resolution (SISR) achieved a powerful reconstruction performance. The CNN-based network (both sequential-based and feedback-based) performs well in local features, while the self-attention-based network performs
Externí odkaz:
https://doaj.org/article/c4b5e22932f747a5b3af0d0dd544125e
Publikováno v:
Complexity, Vol 2021 (2021)
This paper investigates the control problem of the buoyancy regulation system for autonomous underwater vehicle (AUV). There are some problems to be considered in the oil-water conversion-based buoyancy regulation system, including the external seawa
Externí odkaz:
https://doaj.org/article/3826752f6a724ff195842be729b5edf5
Publikováno v:
Machines, Vol 9, Iss 5, p 105 (2021)
An adaptive control algorithm based on the RBF neural network (RBFNN) and nonlinear model predictive control (NMPC) is discussed for underwater vehicle trajectory tracking control. Firstly, in the off-line phase, the improved adaptive Levenberg–Mar
Externí odkaz:
https://doaj.org/article/3317c869c70c4f189d1d04113478be99
Autor:
Yifei Wang, Jun Hu, Xiaoxiao Zhang, Zhenzhong Chu, Boyuan Ren, Caixu Yue, Bin Jiang, XianLi Liu
Publikováno v:
Journal of Manufacturing Processes. 97:248-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e037b5df7fb5a56f5cf1a3d57920af
https://doi.org/10.1016/j.jmapro.2023.05.003
https://doi.org/10.1016/j.jmapro.2023.05.003