Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-01
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
This paper proposes a novel intelligent control scheme using type-2 fuzzy neural network (type-2 FNN) system.
The control scheme is developed using a type-2 FNN controller and an adaptive compensator.
The type-2 FNN combines the type-2 fuzzy logic system (FLS), neural network, and its learning algorithm using the optimal learning algorithm.
The properties of type-1 FNN system parallel computation scheme and parameter convergence are easily extended to type-2 FNN systems.
In addition, a robust adaptive control scheme which combines the adaptive type-2 FNN controller and compensated controller is proposed for nonlinear uncertain systems.
Simulation results are presented to illustrate the effectiveness of our approach.
American Psychological Association (APA)
Lee, Ching-Hung& Lin, Yu-Ching. 2011. Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System. Mathematical Problems in Engineering،Vol. 2011, no. 2011, pp.1-25.
https://search.emarefa.net/detail/BIM-484393
Modern Language Association (MLA)
Lee, Ching-Hung& Lin, Yu-Ching. Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System. Mathematical Problems in Engineering No. 2011 (2011), pp.1-25.
https://search.emarefa.net/detail/BIM-484393
American Medical Association (AMA)
Lee, Ching-Hung& Lin, Yu-Ching. Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System. Mathematical Problems in Engineering. 2011. Vol. 2011, no. 2011, pp.1-25.
https://search.emarefa.net/detail/BIM-484393
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484393