Biologically-Inspired Intelligent Flocking Control for Networked Multi-UAS with Uncertain Network Imperfections
In this paper, a biologically-inspired distributed intelligent control methodology is proposed to overcome the challenges, i.e., networked imperfections and uncertainty from the environment and system, in networked multi-Unmanned Aircraft Systems (UAS) flocking. The proposed method is adopted based...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
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Series: | Drones |
Subjects: | |
Online Access: | http://www.mdpi.com/2504-446X/2/4/33 |