Research of UAVs cooperative tasks assignment model

Feng Pan*, Zhe Zhang, Rui Zhang, Ting Long

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The multiple Unmanned Combat Aerial Vehicles (UAVs) tasks allocation, studied in the paper, is a complex assignment problem which requires allocating UAVs to targets to complete various tasks. The challenges is not only the potential dimensional explosion when the scenarios become more complicated and the size of problems increases, but also the constraints handling which is a specific characteristic compared with other scheduling or assignment problems. In this paper, A cooperative assignment model for UAVs tasks allocation is proposed and a "separation for sorting" strategy is introduced. The proposed model can effectively deal with various constraints, including the constraints expressed by nature language, and is flexible and effective enough to be combined with kinds of computation intelligence algorithms. Various scenarios with different dimension and non-stationary scenarios are studied by numerical experiments. Results illustrate that it can efficiently achieve the optima and demonstrate the effectiveness.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control Conference, CCC'10
Pages1757-1762
Number of pages6
Publication statusPublished - 2010
Event29th Chinese Control Conference, CCC'10 - Beijing, China
Duration: 29 Jul 201031 Jul 2010

Publication series

NameProceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference29th Chinese Control Conference, CCC'10
Country/TerritoryChina
CityBeijing
Period29/07/1031/07/10

Keywords

  • Computational intelligence algorithm
  • Multiple Unmanned Combat Aerial Vehicles(UAVs)
  • Separation for sorting
  • Task assignment

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