@inproceedings{11c439a99c17469b9ce0dd177fcbde6b,
title = "The identification of unmanned helicopter based on improved evolutionary strategy",
abstract = "To design a reliable high-performance fight control system, an accurate model of the helicopter is required. While the movement of the helicopter is very complicated, it is very difficult to identify the complete model of helicopter by the traditional methods. In this paper, an identifying method based on improved evolutionary strategy is proposed. In this method, the problem of identification is transformed into an optimization that can be solved by heuristic algorithm. To improve the searching precision, a novel evolutionary strategy based on feedback and sharing scheme is adopted. In order to test the identifying method based on evolutionary strategy, an identification of a kind of unmanned helicopter's model is done. The result shows that the accurate complete model can be obtained by the identifying method proposed in this paper.",
keywords = "ES, Identification, Unmanned helicopter",
author = "Guangwen Li and Qiuling Jia and Jingping Shi",
year = "2009",
doi = "10.1109/ICICTA.2009.58",
language = "英语",
isbn = "9780769538044",
series = "2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009",
pages = "205--208",
booktitle = "2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009",
note = "2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 ; Conference date: 10-10-2009 Through 11-10-2009",
}