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Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization

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Stochastic Algorithms: Foundations and Applications (SAGA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3777))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Sharif University of Technology, P.O. Box: 11365-8639, Tehran, Iran

    Hadi Nobahari & Seid H. Pourtakdoust

Authors
  1. Hadi Nobahari
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  2. Seid H. Pourtakdoust
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Editor information

Editors and Affiliations

  1. Department of Discrete Mathematics, Leninskie Gory, Moscow State University, 119992, Moscow, Russia

    Oleg B. Lupanov  & Oktay M. Kasim-Zade  & 

  2. Faculty of Mechanics and Mathematics, Department of Discrete Mathematics, Leninskie Gory, Moscow State University, 119992, Moscow, Russia

    Alexander V. Chaskin

  3. Department of Computer Science, King’s College London, WC2R 2LS, London, UK

    Kathleen Steinhöfel

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© 2005 Springer-Verlag Berlin Heidelberg

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Nobahari, H., Pourtakdoust, S.H. (2005). Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization. In: Lupanov, O.B., Kasim-Zade, O.M., Chaskin, A.V., Steinhöfel, K. (eds) Stochastic Algorithms: Foundations and Applications. SAGA 2005. Lecture Notes in Computer Science, vol 3777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11571155_10

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  • DOI: https://doi.org/10.1007/11571155_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29498-6

  • Online ISBN: 978-3-540-32245-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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