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...

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Bibliographic Details
Main Authors: Mohammad Jafari, Hao Xu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Drones
Subjects:
Online Access:http://www.mdpi.com/2504-446X/2/4/33