Zobrazeno 1 - 10
of 930
pro vyhledávání: '"coverage control"'
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 211-221 (2024)
This paper presents a novel control strategy for drone networks to improve the quality of 3D structures reconstructed from aerial images by drones. Unlike the existing coverage control strategies for this purpose, our proposed approach simultaneously
Externí odkaz:
https://doaj.org/article/c71cfb94698d427c9a716993755ad0c5
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 144-155 (2024)
This paper presents a novel angle-aware coverage control method to enhance monitoring efficiency for large-scale 3D map reconstruction using drone networks. The proposed method integrates a Voronoi-based coverage control as the nominal input into the
Externí odkaz:
https://doaj.org/article/eabe23138c274901bbe1ade762cbbc2d
Autor:
Kangneoung Lee, Kiju Lee
Publikováno v:
IEEE Access, Vol 12, Pp 5503-5516 (2024)
Voronoi diagrams are widely used for area partitioning and coverage control. Nevertheless, their utilization in non-convex domains often necessitates additional computational procedures, such as diffeomorphism application, geodesic distance calculati
Externí odkaz:
https://doaj.org/article/9a52d94b225d408c9cd421c4fe702962
Publikováno v:
IEEE Access, Vol 12, Pp 4153-4165 (2024)
The deployment of a group of robots equipped with sensors for monitoring, also known as a robotic sensor network, is a promising technological solution to solve time-critical societal and environmental issues. This paper considers the problem of depl
Externí odkaz:
https://doaj.org/article/0d27f65e36844ed3ba4f1f6cef378a4e
Publikováno v:
Sensors, Vol 24, Iss 21, p 6794 (2024)
Coverage control is a fundamental and critical issue in plentiful wireless sensor network (WSN) applications. Aiming at the high-dimensional optimization problem of sensor node deployment and the complexity of the monitoring area, an orthogonal learn
Externí odkaz:
https://doaj.org/article/bceb3403bfc24398bab7c21677da9fc1
Publikováno v:
Information, Vol 15, Iss 8, p 462 (2024)
This paper presents safe coverage control algorithms for multi-agent systems, integrating Centroidal Voronoi Tessellation (CVT) and control barrier functions (CBFs). This study aims to ensure safety and spatial optimization by combining CVT and CBFs
Externí odkaz:
https://doaj.org/article/021127c77f874e58917cfc1ee4d5ff33
Publikováno v:
Defence Technology, Vol 24, Iss , Pp 254-268 (2023)
The region coverage control problem of multiple stratospheric airships system is firstly addressed in this paper. Towards it, we propose a two-layer control framework with the artificial potential field (APF)-based region coverage control law and the
Externí odkaz:
https://doaj.org/article/2c66284bf5b14c9295b60f2f5014f7da
Publikováno v:
Tongxin xuebao, Vol 44, Pp 78-86 (2023)
To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in
Externí odkaz:
https://doaj.org/article/a84fa22a23cf46a0a3ec832975855d3c
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 1, Pp 67-77 (2023)
ObjectivesThis paper addresses the anti-disturbance optimal coverage control of under-actuated autonomous surface vehicles (ASVs) in fixed ocean areas.MethodsAt the kinematic level, the Voronoi tessellation is carried out based on the locations of ad
Externí odkaz:
https://doaj.org/article/ac99d19e21c643c69f50624a50a1f930
Continuous Coverage Control of UAVs Based on Cluster Reconfiguration in the Context of Counterattack
Publikováno v:
IEEE Access, Vol 11, Pp 85303-85314 (2023)
UAV clusters are the main application form of multi-intelligence for the intelligent era. Especially in the context of strikes, UAV clusters become an efficient weapon resource on the battlefield by their flexible mobility, no casualties, and low cos
Externí odkaz:
https://doaj.org/article/b168472a0cbc4273b3d29357bcaf8475