JOURNAL ARTICLE

Information-Based Cooperative Control for Multiple Unmanned Aerial Vehicles

Abstract

In this paper, we present a distributed control algorithm to locate multiple mobile radio frequency (RF) targets using cooperative unmanned aerial vehicles (UAVs) equipped only with Global Positioning System (GPS) sensors and angle of arrival sensors. The proposed control algorithm considers the number of UAVs involved, sensor schedules, and sensor trajectories to increase the performance of cooperative UAVs localizing ground targets. The UAVs use optimal recursive estimation techniques to minimize target localization errors and differential geometry techniques to generate UAV (sensor) trajectories

Keywords:
Global Positioning System Computer science Real-time computing Differential GPS Trajectory Wireless sensor network Remotely operated underwater vehicle Mobile robot Artificial intelligence Telecommunications Computer network Robot

Metrics

11
Cited By
1.77
FWCI (Field Weighted Citation Impact)
18
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering

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