• DocumentCode
    175388
  • Title

    Study on tactical decision of UAV medium-range air combat

  • Author

    Wen-xue Geng ; Fan´e Kong ; Dong-qian Ma

  • Author_Institution
    Sci. & Technol. on Electron-Opt. Control Lab., Luoyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    135
  • Lastpage
    139
  • Abstract
    To process the uncertainty of decision-making environment and the real-time during the tactical decision of UAV medium-range air combat, a hybrid tactical decision-making method based on rule sets and Fuzzy Bayesian network (FBN) was proposed. By studying the process of UAV air combat, the main factors that affect the tactical decision were analyzed. A corresponding FBN and expert system were built up. The hybrid system retained the advantage of expert system by the first call to it. In the mean time, the system could also process the uncertainty of decision-making environment by means of the FBN. Finally, through the air combat simulation, the correctness, real-time and effectiveness in an uncertain environment of the hybrid tactical decision-making method were verified.
  • Keywords
    aerospace computing; autonomous aerial vehicles; belief networks; control engineering computing; decision making; expert systems; fuzzy control; fuzzy neural nets; military aircraft; military computing; neurocontrollers; FBN; UAV air combat; UAV medium-range air combat; air combat simulation; decision-making environment; expert system; fuzzy Bayesian network; hybrid system; hybrid tactical decision-making method; rule sets; uncertain environment; Atmospheric modeling; Bayes methods; Decision making; Expert systems; Missiles; Uncertainty; Fuzzy Bayesian network; UAV; expert system; medium-range air combat;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852132
  • Filename
    6852132