Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zong-Hu Chang"'
Publikováno v:
Journal of Marine Science and Application. 1:18-22
In this paper, 3D track-keeping control method for autonomous underwater vehicle (AUV) with and without the influence of ocean current is investigated. Because the system to be controlled is highly nonlinear and strong coupled, an approach is used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51cf93c32e61159e069b61040d27075
https://doi.org/10.1007/bf02935833
https://doi.org/10.1007/bf02935833
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
An integrated manipulating and dynamic positioning system for the underwater pipeline and cable detecting and repairing equipment (in short, PCDR) has been described in the paper. The paper has introduced the system from the following aspects: its co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6032084ceb48caa0beb3102d46c88979
https://doi.org/10.1109/icmlc.2004.1380733
https://doi.org/10.1109/icmlc.2004.1380733
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
Terrain scanning is one of important missions of autonomous underwater vehicle. AUVs mission control covers a wide spectrum of research topics focusing on the interplay between event-driven and time-driven dynamical systems. The former is within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5dfc926c6da0be6e291273d3120ac40
https://doi.org/10.1109/icmlc.2004.1382356
https://doi.org/10.1109/icmlc.2004.1382356
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
The paper proposes a framework of obstacle avoidance for AUV based on the real-time information of forward looking sonar (FLS) in an unknown environment. The whole system includes such modules as obstacle detecting by FLS, tracking obstacles, motion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db794238a7a162a2b840b8637ffb952
https://doi.org/10.1109/icmlc.2005.1527181
https://doi.org/10.1109/icmlc.2005.1527181
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning & Cybernetics (IEEE Cat. No.04EX826); 2004, p461-465, 5p
Publikováno v:
2005 International Conference on Machine Learning & Cybernetics; 2005, p1498-1498, 1p
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning & Cybernetics (IEEE Cat. No.04EX826); 2004, p1113-1113, 1p