By Topic

Adaptive robust fuzzy control for a class of nonlinear systems based on backstepping method

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
$31 $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

3 Author(s)
Yanjun Liu ; Dept. of Math. & Phys., Liaoning Univ. of Technol., Jinzhou ; Shaocheng Tong ; Yongming Li

An adaptive robust fuzzy control approach is developed in this paper for uncertain nonlinear strict-feedback systems with unknown control input gain functions. The prominent features of the developed approach are: 1) the controller singularity problem is solved perfectly, 2) it improves the robust performance of the system, 3) compared with most of results in adaptive fuzzy or neural networks control for nonlinear strict-feedback systems, the developed approach alleviates on-line computation burden. The overall control system guarantees that all signals are uniformly ultimately bounded and that the tracking error variables exponentially converge to an arbitrarily small neighborhood around zero by suitably choosing the design parameters. A simulation example demonstrates the feasibility of the developed control approach.

Published in:

Control and Decision Conference, 2008. CCDC 2008. Chinese

Date of Conference:

2-4 July 2008