• DocumentCode
    3598582
  • Title

    A study of multi-sensor management and control method based on deviation

  • Author

    Gao Yong ; Luo Xuan ; Chen Bing ; Hou Xiaoning

  • Author_Institution
    Educ. Dept., Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2015
  • Firstpage
    5986
  • Lastpage
    5992
  • Abstract
    According to the controller and sensor requirements for different operating conditions, this paper designed three relatively balanced indicators, using the least squares fitting method, establishing minimum objective function of the absolute deviation from equilibrium conditions which was called Deviation. Finally, this paper discovered the best management and control program about multi-sensor by using Linear programming and improved genetic algorithm optimal allocation scheme to solve the problem, choosing small deviation individuals in the initial population to replace the larger one, and ensuring the optimum offspring individuals replace the poor continually.
  • Keywords
    genetic algorithms; least squares approximations; linear programming; sensor fusion; control method; genetic algorithm optimal allocation scheme; least squares fitting method; linear programming; multisensor management; Art; Electronic mail; Fitting; Genetic algorithms; Information management; Linear programming; Resource management; Genetic Algorithms; Management and Control; Multi-Sensor; The relative equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161883
  • Filename
    7161883