Cart (Loading....) | Create Account
Close category search window

Fuzzy adaptive approach to nonlinear systems control

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Golea, N. ; E.E. Inst., O.E.B Univ., Algeria ; Golea, A. ; Boumehrez, M. ; Kadjoudj, M.

We consider a direct fuzzy adaptive control of continuous-time nonlinear systems. The proposed adaptive scheme uses a Takagi-Sugeno (TS) fuzzy controller, which allows the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical conventional regulators for those operating points. The closed loop dynamic is proven to be asymptotically stable, and robust against external disturbance and approximation error. The proposed approach performance is evaluated on an induction motor control problem

Published in:

Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE  (Volume:1 )

Date of Conference:


Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.