Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems

This paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity in...

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Bibliographic Details

Main Authors:	Husain, Hafizah, Khalid, Marzuki, Yusof, Rubiyah
Format:	Article
Published:	Science Publications 2008
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/7341/ http://doi.dx.org/10.3844/ajassp.2008.769.776
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