Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization

  • Hadi Nobahari
  • Seid H. Pourtakdoust
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3777)


The well-known ant colony optimization meta-heuristic is applied to design a new command to line-of-sight guidance law. In this regard, the lately developed continuous ant colony system is used to optimize the parameters of a pre-constructed fuzzy sliding mode controller. The performance of the resulting guidance law is evaluated at different engagement scenarios.


Tracking Error Travel Salesman Problem Fuzzy Logic Control Fuzzy Term State Transition Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hadi Nobahari
    • 1
  • Seid H. Pourtakdoust
    • 1
  1. 1.Sharif University of TechnologyTehranIran

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