Self-Constructing Adaptive Robust Fuzzy Neural Tracking Control of Surface Vehicles With Uncertainties and Unknown Disturbances

In this paper, a novel self-constructing adaptive robust fuzzy neural control (SARFNC) scheme for tracking surface vehicles, whereby a self-constructing fuzzy neural network (SCFNN) is employed to approximate system uncertainties and unknown disturbances, is proposed. The salient features of the SAR...

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Veröffentlicht in:	IEEE transactions on control systems technology Jg. 23; H. 3; S. 991 - 1002
Hauptverfasser:	Wang, Ning, Joo Er, Meng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2015
Schlagworte:	Adaptation models Adaptive robust tracking control Approximation methods Robustness Sea surface self-constructing fuzzy neural network (SCFNN) surface vehicle Uncertainty Vehicle dynamics Vehicles self-constructing fuzzy neural network (SCFNN) Adaptive robust tracking control surface vehicle
ISSN:	1063-6536, 1558-0865
Online-Zugang:	Volltext
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