Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60224
Title: A novel adaptive fuzzy controller for application in autonomous vehicles
Authors: Dai, X
Li, CK
Rad, AB
Keywords: Fuzzy logic system
Adaptive fuzzy
Fuzzy approximation
Lyapunov synthesis approach
Vehicle longitudinal controller.
Issue Date: 2002
Publisher: 广东省机械硏究所
Source: 机电工程技术 (Machine development), 2002, v. 31, no. 6, p. 122-126 How to cite?
Journal: 机电工程技术 (Machine development) 
Abstract: Adaptive control for a class of nonlinear systems is discussed in this paper.We use fuzzy systems to approximate the ideal optimal controller by adjusting the parameters of fuzzy systems.In order to tune these parameters,linear relationship between approximation error and parameters is established first.Then we design the adaptive laws of these parameters based on Lyapunov synthesis approach.The advantage of our method is that we can tune not only the parameters of the consequences of fuzzy rules,but also the parameters of the membership functions.As a result,a stable and more flexible controller is achieved.The performance of the adaptive scheme is demonstrated through the longitudinal vehicle control. 还原
URI: http://hdl.handle.net/10397/60224
ISSN: 1009-9492
Rights: © 2002 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2002 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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