Results 31 to 40 of about 18,417,739 (315)

Dynamic Trajectory Control of Gliders [PDF]

, 2013
9 figures, Proceedings of the 2nd CEAS Specialist Conference on Guidance, Navigation & Control, Delft ...
Dilão, Rui, Fonseca, João
openaire   +2 more sources

Singular Trajectories of Control-Affine Systems [PDF]

SIAM Journal on Control and Optimization, 2008
When applying methods of optimal control to motion planning or stabilization problems, some theoretical or numerical difficulties may arise, due to the presence of specific trajectories, namely, singular minimizing trajectories of the underlying optimal control problem.
Yacine Chitour, Frédéric Jean, Emmanuel Trélat   +2 more
openaire   +3 more sources

Deep Learning-Based Trajectory Planning and Control for Autonomous Ground Vehicle Parking Maneuver

IEEE Transactions on Automation Science and Engineering, 2023
In this paper, a novel integrated real-time trajectory planning and tracking control framework capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is presented.
Runqi Chai, Derong Liu, Tianhao Liu, A. Tsourdos, Yuanqing Xia, S. Chai   +5 more
semanticscholar   +1 more source

Speed Law Control in Some Tasks for Underwater Vehicles

Современные информационные технологии и IT-образование, 2019
The article deals with two tasks of providing the rear motion of autonomous underwater vehicles. The first task is to find the paths with specific yaw angle along the given set of target points in the plane.
Nataliia A. Zhabko, Timur A. Lepikhin, Georgy M. Bolshakov, Artem S. Boykov, German A. Glushkov   +4 more
doaj   +1 more source

Reinforcement Learning for a Cellular Internet of UAVs: Protocol Design, Trajectory Control, and Resource Management [PDF]

IEEE wireless communications, 2019
Unmanned aerial vehicles (UAVs) can be powerful Internet of Things components to execute sensing tasks over the next-generation cellular networks, which are generally referred to as the cellular Internet of UAVs. However, due to the high mobility of UAVs
Jingzhi Hu, Hongliang Zhang, Lingyang Song, Zhu Han, H. V. Poor   +4 more
semanticscholar   +1 more source

Computation Offloading and Trajectory Control for UAV-Assisted Edge Computing Using Deep Reinforcement Learning

Applied Sciences, 2022
Task offloading has attracted widespread attention in accelerating applications and reducing energy consumption. However, in areas with surging traffic (nucleic acid testing, concerts, etc.), the limited resources of fixed-base stations cannot meet user ...
Huamei Qi, Zheng Zhou
doaj   +1 more source

Trajectory Control Strategy and System Modeling of Load-Sensitive Hydraulic Excavator

Machines, 2022
Accurate control of excavator trajectory is the foundation for the intelligent and unmanned development of excavators. The excavator operation process requires multiple actuators to cooperate to complete the response action. However, the existing control
Haoju Song, Guiqin Li, Zhen Li, Xin Xiong   +3 more
doaj   +1 more source

Dynamic Trajectory Control and User Association for Unmanned-Aerial-Vehicle-Assisted Mobile Edge Computing: A Deep Reinforcement Learning Approach

Drones
Mobile edge computing (MEC) has become an effective framework for latency-sensitive and computation-intensive applications by deploying computing resources at network edge.
Libo Wang, Xiangyin Zhang, Kaiyu Qin, Zhuwei Wang, Hang Yin, Jiayi Zhou, Deyu Song   +6 more
doaj   +1 more source

Machine learning–based robust trajectory tracking control for FSGR

The Journal of Engineering, 2019
Here, a robust adaptive trajectory tracking algorithm is proposed for free-form surface grinding robot (FSGR) in metal surface production line. Machine-learning method is used for robot dynamic approximation which is hard to obtain directly. Adaptive law
Lin Jia, Yaonan Wang, Changfan Zhang, Kaihui Zhao, Kaihui Zhao, Langming Zhou   +5 more
doaj   +1 more source

Enhanced Trajectory Control of Quadrotor UAV Using Fuzzy PID Based Recurrent Neural Network Controller

IEEE Access
This paper presents a novel Fuzzy PID-based Recurrent Neural Network (FPIDRNN) controller designed to enhance trajectory control in quadrotor Unmanned Aerial Vehicles (UAVs).
Nigatu Wanore Madebo, Chala Merga Abdissa, Lebsework Negash Lemma   +2 more
semanticscholar   +1 more source