Neural Networks for the Output Tracking-Control Problem of Nonlinear Strict-Feedback System

This paper focuses on the tracking-control problem of nonlinear strict-feedback system by utilizing neural networks. Combining a novel recurrent neural network and gradient-based neural network, we investigate, develop and design a new controller based on the synthesized neural network model (N-G mo...

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Detalles Bibliográficos

Autores principales:	Yuhuan Chen, Jihua Ren, Chengfu Yi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2017-01-01
Colección:	IEEE Access
Materias:	Output tracking-control nonlinear strict-feedback system recurrent neural network backstepping algorithm
Acceso en línea:	https://ieeexplore.ieee.org/document/8110631/
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