By Topic

Sliding mode adaptive output feedback control of nonlinear systems using neural networks

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)
Feipeng Da ; Res. Inst. of Autom., Southeast Univ., Nanjing, China ; Shumin Fei ; Xianzhong Dai

An adaptive output feedback control scheme is proposed for the output tracking of a class of nonlinear systems represented by input-output models. By augmenting a series of integrators at the input side, the system is represented by the input, the output and their derivatives. Neural networks are used to adaptively compensate for the nonlinearities. Sliding mode and high order filters are presented in the adaptive controller design. By using Lyapunov's stability theory, the global stability of the system is proven. Simulation results show the effectiveness of the proposed method.

Published in:

American Control Conference, 2005. Proceedings of the 2005

Date of Conference:

8-10 June 2005