Adaptive control of a class of nonlinear systems with fuzzy approximators: an application to longitudinal vehicle control
by Xiaohui Dai, C.K. Li, A.B. Rad
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 2, No. 1/2, 2009

Abstract: We employ a direct adaptive fuzzy controller that approximates an ideal optimal controller. A linear relationship between approximation error and parameters is established in order to tune all the parameters online. Subsequently, adaptive laws are proposed based on the Lyapunov synthesis approach. The advantage of the proposed method is that the parameters of the consequences of fuzzy rules as well as those of the membership functions are tuned. As a result, a stable and flexible controller is achieved. The performance of the adaptive scheme is demonstrated through the simulation studies of a longitudinal vehicle control system.

Online publication date: Wed, 01-Apr-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Manufacturing Systems (IJMMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com