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ROV dynamic modeling and grasping algorithm for underwater control system of marine oil and gas. [PDF]
Sci RepLi Y, Li S, Li Y.
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Autonomous Sea Floor Coverage with Constrained Input Autonomous Underwater Vehicles: Integrated Path Planning and Control. [PDF]
Sensors (Basel)Gkesoulis AK +3 more
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IEEE Communications Surveys and Tutorials, 2021
Autonomous underwater vehicles (AUVs) are submersible underwater vehicles controlled by onboard computers. AUV formation is a cooperative control which focuses on controlling multiple AUVs to move in a group while executing tasks. In contrast to a single
Yue Yang, Yang Xiao, Tie-shan Li
semanticscholar +1 more source
Autonomous underwater vehicles (AUVs) are submersible underwater vehicles controlled by onboard computers. AUV formation is a cooperative control which focuses on controlling multiple AUVs to move in a group while executing tasks. In contrast to a single
Yue Yang, Yang Xiao, Tie-shan Li
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2022
Due to the complexity of the ocean environment, an autonomous underwater vehicle (AUV) is disturbed by obstacles when performing tasks. Therefore, the research on underwater obstacle detection and avoidance is particularly important.
Xiang Cao, Lu Ren, Changyin Sun
semanticscholar +1 more source
Due to the complexity of the ocean environment, an autonomous underwater vehicle (AUV) is disturbed by obstacles when performing tasks. Therefore, the research on underwater obstacle detection and avoidance is particularly important.
Xiang Cao, Lu Ren, Changyin Sun
semanticscholar +1 more source
Dynamic Target Tracking Control of Autonomous Underwater Vehicle Based on Trajectory Prediction
IEEE Transactions on Cybernetics, 2022Underwater dynamic target tracking technology has a wide application prospect in marine resource exploration, underwater engineering operations, naval battlefield monitoring, and underwater precision guidance.
Xiang Cao, Lu Ren, Changyin Sun
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IEEE/ASME transactions on mechatronics, 2021
The problem of finite-time path following control for a typical 6-DOF (degree of freedom) autonomous underwater vehicle (AUV) subjected to parametric and modeling uncertainties, disturbances and unknown saturation nonlinearities is studied and discussed ...
Fatemeh Sedghi +3 more
semanticscholar +1 more source
The problem of finite-time path following control for a typical 6-DOF (degree of freedom) autonomous underwater vehicle (AUV) subjected to parametric and modeling uncertainties, disturbances and unknown saturation nonlinearities is studied and discussed ...
Fatemeh Sedghi +3 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2021
Wireless charging to autonomous underwater vehicle effectively prolongs the attended time and extends the endurance mileage. As the most promising underwater power feeding technique, inductive power transfer is also faced with challenges such as the ...
Jing Zhou +5 more
semanticscholar +1 more source
Wireless charging to autonomous underwater vehicle effectively prolongs the attended time and extends the endurance mileage. As the most promising underwater power feeding technique, inductive power transfer is also faced with challenges such as the ...
Jing Zhou +5 more
semanticscholar +1 more source
Autonomous Underwater Vehicle Navigation
IEEE Journal of Oceanic Engineering, 2010This paper considers the vehicle navigation problem for an autonomous underwater vehicle (AUV) with six degrees of freedom. We approach this problem using an error state formulation of the Kalman filter. Integration of the vehicle's high-rate inertial measurement unit's (IMU's) accelerometers and gyros allow time propagation while other sensors provide
Paul A. Miller +3 more
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IEEE transactions on industrial electronics (1982. Print), 2018
This paper studies the trajectory tracking control problem of an autonomous underwater vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) framework for the AUV to utilize computational resource (online optimization) to ...
Chao Shen, Yang Shi, B. Buckham
semanticscholar +1 more source
This paper studies the trajectory tracking control problem of an autonomous underwater vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) framework for the AUV to utilize computational resource (online optimization) to ...
Chao Shen, Yang Shi, B. Buckham
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
Most studies so far on trajectory tracking control of autonomous underwater vehicle (AUV) have assumed that the Euler angles are exactly known. However, the AUV inevitably suffers from external environmental disturbances which are driven by wind, density,
Xian Yang, Jing Yan, C. Hua, X. Guan
semanticscholar +1 more source
Most studies so far on trajectory tracking control of autonomous underwater vehicle (AUV) have assumed that the Euler angles are exactly known. However, the AUV inevitably suffers from external environmental disturbances which are driven by wind, density,
Xian Yang, Jing Yan, C. Hua, X. Guan
semanticscholar +1 more source