Satellite attitude control through evolving a neural network

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Li:2010:ICMA,
  author =       "Shuguang Li and Jianping Yuan and Jianjun Luo and 
                 Weihua Ma",
  title =        "Satellite attitude control through evolving a neural
                 network",
  booktitle =    "2010 International Conference on Mechatronics and
                 Automation (ICMA)",
  year =         "2010",
  month =        "4-7 " # aug,
  pages =        "553--559",
  address =      "Xi'an, China",
  abstract =     "We propose a pure topological recurrent network
                 controller for satellite attitude control, which has
                 random binary connections in hidden layer, and all
                 hidden neurons are activated by sinusoidal functions. A
                 direct graph encoding method and four genetic operators
                 are implemented for using genetic programming to train
                 this controller. Moreover, a simulated small satellite
                 which equipped with three reaction wheels was
                 developed, then this simulator was employed to test the
                 controller and training method for a given simple
                 attitude adjusting mission. The experimental results
                 reveal that this controller has the simplicity,
                 usability and potentials for satellite attitude control
                 through evolutionary learning.",
  keywords =     "genetic algorithms, genetic programming, direct graph
                 encoding method, evolutionary learning, genetic
                 operator, neural network, pure topological recurrent
                 network controller, satellite attitude control,
                 sinusoidal function, training method, artificial
                 satellites, attitude control, directed graphs,
                 encoding, neurocontrollers, recurrent neural nets",
  DOI =          "doi:10.1109/ICMA.2010.5588493",
  ISSN =         "2152-7431",
  notes =        "Also known as \cite{5588493}",
}

Genetic Programming entries for Shu-guang Li Jianping Yuan Jianjun Luo Weihua Ma

Citations