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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| Format: | Article |
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Science Publications
2008
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