Implementable Adaptive Backstepping Neural Control of Uncertain Strict-Feedback Nonlinear Systems

Presented in this paper is neural network based adaptive control for a class of affine nonlinear systems in the strict-feedback form with unknown nonlinearities. A popular recursive design methodology – backstepping is employed to systematically construct feedback control laws and associated Lyapuno...

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Bibliographische Detailangaben

Hauptverfasser:	Chen, Dingguo, Yang, Jiaben
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive Control Design Adaptive Neural Control Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Control Design Scheme Exact sciences and technology Neural Controller Virtual Control
Online-Zugang:	Volltext
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