Neural network-based approximation of aircraft attainability boundary

  • Authors:

  • E. M. Voronov;A. P. Karpenko;O. G. Kozlova;V. A. Fedin;A. G. Trofimov

  • Affiliations:

  • Bauman Moscow State Technical University, Moscow, Russia 105005;Bauman Moscow State Technical University, Moscow, Russia 105005;Bauman Moscow State Technical University, Moscow, Russia 105005;Bauman Moscow State Technical University, Moscow, Russia 105005;Bauman Moscow State Technical University, Moscow, Russia 105005

  • Venue:
  • Optical Memory and Neural Networks
  • Year:
  • 2010

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Abstract

The problem of the approximate dynamic system attainability domain boundary construction is considered. Results of neural network-based methods efficiency research for the highly-maneuverable aircraft attainability domain boundaries approximate construction are presented.