Results 11 to 20 of about 19,016 (312)

AUV 3D Path Planning Based on the Improved Hierarchical Deep Q Network

Journal of Marine Science and Engineering, 2020
This study proposed the 3D path planning of an autonomous underwater vehicle (AUV) by using the hierarchical deep Q network (HDQN) combined with the prioritized experience replay.
Yushan Sun, Xiangrui Ran, Guocheng Zhang, Hao Xu, Xiangbin Wang   +4 more
doaj   +1 more source

Model predictive control of a hybrid autonomous underwater vehicle with experimental verification [PDF]

, 2014
In this work model predictive control is used to provide transit and hover capabilities for an autonomous underwater vehicle where the description of the system dynamics used include terms measured experimentally.
Bodles, Kenneth, Evans, D.W., Evans, Derek W., Harris, C., Turnock, S.R., Rogers, E., Steenson, L.V., Phillips, A.B., Wang, L., Bodles, K., Furlong, M.E., Wang, Liuping   +11 more
core   +1 more source

Formation Control of Multiple Unmanned Surface Vehicles Using the Adaptive Null-Space-Based Behavioral Method

IEEE Access, 2019
This paper presents an adaptive null-space-based behavioral (NSB) method to deal with the problems of saturation planning and lack of adaptability when the traditional NSB method is applied to the formation control of multiple unmanned surface vehicles ...
Jiajia Fan, Yulei Liao, Ye Li, Quanquan Jiang, Leifeng Wang, Wen Jiang   +5 more
doaj   +1 more source

A potential-flow based flight simulator for an underwater glider [PDF]

, 2013
Underwater gliders are recent innovative types of autonomous underwater vehicles (AUVs) used in ocean exploration and observation. They adjust their buoyancy to dive and to return to the ocean surface.
LAURENS, Jean-Marc, DENISET, François, LE BOULLUEC, Marc, PHOEMSAPTHAWEE, Surasak, LE BOULLUEC, M.   +4 more
core   +1 more source

Optimal and Adaptive Control of Underwater Vehicles [PDF]

1993 American Control Conference, 1993
Summary: This article contains a continuous-time optimal and adaptive control scheme for underwater vehicles moving in six degrees of freedom. The control scheme is an extension of the algorithm of \textit{R. Johansson} (1990) and a modification of the algorithm found in \textit{S. I. Sagatun} (1992).
Svein I. Sagatun, Rolf Johansson 0001
openaire   +3 more sources

Nonlinear H∞ Optimal Control Scheme for an Underwater Vehicle with Regional Function Formulation [PDF]

, 2013
A conventional region control technique cannot meet the demands for an accurate tracking performance in view of its inability to accommodate highly nonlinear system dynamics, imprecise hydrodynamic coefficients, and external disturbances.
Ismail, Zool, Zool H. Ismail, Matthew W. Dunnigan, Dunnigan, Mathew Walter   +3 more
core   +1 more source

Generalized Robust PCA: A New Distance Metric Method for Underwater Target Recognition

IEEE Access, 2019
Inspired by the importance of distance metrics and the structure-preserving ability of features, a novel recognition method for underwater targets, called generalized robust principal component analysis (GRPCA), is proposed in this paper.
Jian Xu, Pengfei Bi, Xue Du, Juan Li, Dong Chen   +4 more
doaj   +1 more source

SotonAUV: the design and development of a small, manoeuvrable autonomous underwater vehicle [PDF]

, 2008
The University of Southampton's entry into the Student Autonomous Underwater Challenge-Europe (SAUC-E) 2007 was a custom designed and built autonomous underwater vehicle (AUV) named 'SotonAUV'.
Sharkh, S.M., Phillips, A., M Furlong, J Akhtman, Turnock, S.R., Furlong, M., A Phillips, SM Sharkh, SR Turnock, Akhtman, J., Palmer, A., Phillips, A.B., A Palmer   +12 more
core   +1 more source

Distributed control system architecture for deep submergence rescue vehicles

International Journal of Naval Architecture and Ocean Engineering, 2019
The control architectures of Chuan Suo (CS) deep submergence rescue vehicle are introduced. The hardware and software architectures are also discussed. The hardware part adopts a distributed control system composed of surface and underwater nodes.
Yushan Sun, Xiangrui Ran, Guocheng Zhang, Fanyu Wu, Chengrong Du   +4 more
doaj   +1 more source

Heading Control of Unmanned Surface Vehicle With Variable Output Constraint Model-Free Adaptive Control Algorithm

IEEE Access, 2019
Based on model-free adaptive control (MFAC) theory, this paper presents a variable output constraint MFAC (VOC-MFAC) algorithm to enhance the robustness of an unmanned surface vehicle's (USV's) heading subsystem.
Quanquan Jiang, Yulei Liao, Ye Li, Jiajia Fan, Yugang Miao   +4 more
doaj   +1 more source