Referenced Items are not available for this document.
In this paper, an indirect adaptive neuro fuzzy controller is proposed for controlling nonlinear affine systems, inspired by the theory of feedback linearization and adaptive network-based fuzzy inference system (ANFIS). In a nonlinear affine system two ANFIS are used to model nonlinear dynamic functions of the plant. The adaptive fuzzy rules are applied, such that the feedback linearization control input can be best approximated and the closed-loop system is stable. Simulation results indicate the remarkable capabilities of the proposed control algorithm and good transient response characteristics of the output system.
Published in:
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
(Volume:1
)
Date of Conference: 10-12 June 2011
- Page(s):
- 140 - 144
- Print ISBN:
- 978-1-4244-8727-1
- INSPEC Accession Number:
- 12121615
- Conference Location :
- Shanghai
- Digital Object Identifier :
- 10.1109/CSAE.2011.5953188
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
