MISSILES AND GUIDANCE TECHNOLOGY

The Research on Modeling Algorithm Using Self-organization Method in Aerocraft Intelligent Control System

  • KE Fang ,
  • Neusipin K A
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  • 1 Southwest Institute of Technical Physics, Chengdu 610041, China
    2 Bauman Moscow State Technical University, Moscow 105005, Russia

Received date: 2010-01-26

  Online published: 2025-05-28

Abstract

The intelligent algorithm for building prediction mathematical models using self-organization method was discussed in this paper. This method is one of the key points in modern intelligent system based on theory of functional systems for establishing pre-diction model of control objects. For avoiding shortcoming of traditional self-organization method requiring enormous computing re-source, the modified algorithm combining DEMARK trend and self-organization method was proposed, based on which the predic-tion model of error parameters of navigation system was constructed. Simulation research on application of the given algorithm in prediction of errors of navigation systems shows the effectiveness of this algorithm on building prediction model in aerocraft intelli-gent control system.

Cite this article

KE Fang , Neusipin K A . The Research on Modeling Algorithm Using Self-organization Method in Aerocraft Intelligent Control System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(5) : 39 -42,46 . DOI: 10.15892/j.cnki.djzdxb.2010.05.062

References

[1]
Neusipin K A,Ke Fang. The new orientation of development in the field of intelligent systems[C]//Proc.of 2003 Intelligent automation conference,Hong Kong(China),2003:30-34.
[2]
AнохинΠ.К.Πpoблемыцeнтpa ипepифepиивфизио-логиинepвнoйдeятeльнocти[M].-Н.Нoвгopoд,1935.-120c.
[3]
НeycыпинК.A.Coвpeмeнныe cиcтeмыимeтoдынaвeд-eния,нaвигaциииyпpaвлeниялeтaтeльными aппapaтaми[M].-M.:Изд.MГOY,2009.-500c.
[4]
Ивaхнeнкo A.Г.,Mюллep Й.A.Caмoopгaнизaцияпpo-гнoзиpyющих мoдeлeй[M].-Киeв:Teхникa,1985.-225c.
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