Robust backstepping control of nonlinear systems using neural networks

A controller is proposed for the robust backstepping control of a class of general nonlinear systems using neural networks (NNs). A tuning scheme is proposed which can guarantee the boundedness of tracking error and weight updates. Compared with adaptive backstepping control schemes, we do not requi...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 2000-11, Vol.30 (6), p.753-766
Hauptverfasser:	Kwan, C., Lewis, F.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Adaptive control systems Backstepping Control systems Dynamical systems Error correction Neural networks Nonlinear control systems Nonlinear dynamics Nonlinear systems Programmable control Regression Robots Robust control Tuning
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