Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover-Reference-Cited by-同舟云学术

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Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover

Published:2009-05 Issue:3 Volume:27 Page:215-237
ISSN:0288-3635
Container-title:New Generation Computing
language:en
Short-container-title:New Gener. Comput.

Author:

Król Dariusz,Lower Michał,Szlachetko Bogusław

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00354-007-0062-0.pdf

Reference27 articles.

1. Amaral, T.G.B. and Crisostomo, M.M., “Automatic helicopter motion control using fuzzy logic,” in Proc. of the 10th IEEE International Fuzzy Systems Conference 2001, pp. 860-863, 2001.

2. Amaral, T.G.B., Crisostomo, M.M. and Pires, V.F., “Helicopter motion control using adaptive neuro-fuzzy inference controller,” in Proc. of the IEEE Conference on the Industrial Electronics Society 2002, pp. 2090-2095, 2002.

3. Babuska, R. and Vebruggen, H.B., “An overview of fuzzy modeling for control,” Control Eng. Practice 4, pp. 1593-1606, 1996.

4. Chen, T. and Li, T., “Simplex-type fuzzy sliding-mode control,” Fuzzy Sets and Systems 124, pp. 249-261, 2001.

5. Goff, D.A., Thomas, S.M., Jones R.P., Massey C.P. “A Neural Network Approach to Predicting Airspeed in Helicopters,” Neural Computing & Applications 9, pp. 73-82, 2000.

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