Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory-Reference-Cited by-同舟云学术

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Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory

Published:2020-01 Issue:1 Volume:33 Page:352-364
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

WANG Xiaohong,ZHANG Yuan,WANG Lizhi,LU Dawei,ZENG Guoqi

Funder

National Natural Science Foundation of China

Field Foundation

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference51 articles.

1. Wei Y, Brian BM, Madey GR. An operation-time simulation framework for UAV swarm configuration and mission planning. 13th Annual International Conference on Computational Science; 2013 Jun 5–7; Barcelona, Spain; 2013. p. 1949–58.

2. Brust MR, Zurad M, Hentges L, Gomes L, Danoy G, Bouvry P. Target tracking optimization of UAV swarms based on dualpheromone clustering. 3rd IEEE International Conference on Cybernetics; 2017 Jun 21-23; Exeter, England. Piscataway: IEEE Press; 2017. p. 1–8.

3. Dynamic output feedback guaranteed-cost synchronization for multiagent networks with given cost budgets;Xi;IEEE Access,2018

4. Xi JX, Wang C, Liu H, Wang L. Completely distributed guaranteed-performance consensualization for high-order multiagent systems with switching topologies. IEEE Trans Syst Man, Cybern Syst 2019, 49(7):1–11.

5. Sampedro C, Bavle H, Sanchez-Lopez JL, Fernandez-Ramon AS, Rodriguez-Ramos A, Molina M, et al. A flexible and dynamic mission planning architecture for UAV swarm coordination. International conference on unmanned aircraft systems; 2016 Jun 7-10; Arlington, VA. Piscataway: IEEE Press; 2016. p. 355–63.

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