A self-organized search and attack algorithm for multiple unmanned aerial vehicles-Reference-Cited by-同舟云学术

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A self-organized search and attack algorithm for multiple unmanned aerial vehicles

Published:2016-07 Issue: Volume:54 Page:229-240
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Gao Chen^ORCID,Zhen Ziyang,Gong Huajun

Funder

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference15 articles.

1. Unmanned Systems Integrated Roadmap FY2011-2036;Department of Defense USA,2011

2. Handbook on Decision Making;Lu,2012

3. Enabling operational autonomy for unmanned aerial vehicles with scalability;Sunghun;J. Aerosp. Inf. Syst.,2013

4. From mission planning to flight control of unmanned aerial vehicles: strategies and implementation tools;Vachtsevanos;Annu. Rev. Control,2005

5. Constrained optimization for UAV task assignment;Schumacher,2004

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