Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection update law and variable structure controller

In this paper, a robust adaptive fuzzy-neural control scheme for nonlinear dynamical systems is proposed to attenuate the effects caused by unmodeled dynamics, disturbance, and modeling errors. A generalized projection update law, which generalizes the projection algorithm modification and the switc...

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Bibliographic Details
Published in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 31; no. 1; pp. 140 - 147
Main Authors:	Wang, W Y, Leu, T G, Hsu, C C
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2001
Subjects:	Adaptive control Control systems Disturbances Dynamical systems Error correction Law Mathematical models Neural networks Nonlinear control systems Nonlinear dynamical systems Nonlinear dynamics Nonlinear systems Nonlinearity Programmable control Projection Robust control Robust stability
ISSN:	1083-4419
Online Access:	Get full text
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