Referenced Items are not available for this document.
The ergodicity of chaotic phenomena can avoid being trapped in local optimum. The initial values of chaotic variables and the adjustable coefficients of the second logistic mapping and the third Ulam-von Neumann mapping are discussed, and it is shown that the interval of searching is adjusted when the optimal values don't vary for a lot times. The proposed method is applied to problems with motion planning for mobile robots and the numerical simulation shows that the convergent speed of the method is faster and the accuracy is better.
Published in:
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
(Volume:1
)
Date of Conference: 8-13 Oct. 2003
- Page(s):
- 611 - 615 vol.1
- Print ISBN:
- 0-7803-7925-X
- INSPEC Accession Number:
- 8046952
- Digital Object Identifier :
- 10.1109/RISSP.2003.1285644
- Product Type:
- Conference Publications
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