By Topic

Adaptive fuzzy sliding mode control for a class of uncertain dynamic systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Li Shaoyuan ; Inst. of Autom., Shanghai Jiaotong Univ., China ; Xi Yugeng

When a fuzzy controller is to be used, what is used is often a fuzzy sliding mode controller, because fuzzy logic systems (FLS) can be utilized to approximate complex uncertain dynamic nonlinear systems. In this paper an adaptive fuzzy sliding mode control (SMC) scheme in which FLS is used to approximate the unknown systems is proposed. In order to reduce the approximation errors between the true nonlinear function and FLS, an adaptive law is presented. The stability of the proposed control schemes are proved using Lyapunov stability theory. These proposed control schemes are applied to an inverted pendulum system to shown the effectiveness

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:3 )

Date of Conference:

2000