Optimal fuzzy CLOS guidance law design using ant colony optimization

Authors:
Hadi Nobahari;Seid H. Pourtakdoust
Affiliations:
Sharif University of Technology, Tehran, Iran;Sharif University of Technology, Tehran, Iran
Venue:
SAGA'05 Proceedings of the Third international conference on StochasticAlgorithms: foundations and applications
Year:
2005

Citing 4
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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.