Self-learning chebyshev fuzzy neural finite time control with application to active power filter

This paper proposes a Self-constructing Chebyshev recursive fuzzy neural network (SCCRFNN) controller using a non-singular terminal sliding-mode controller (NSTSMC) for a class of nonlinear systems. The proposed SCCRFNN structurally combines the Chebyshev neural network (CNN) based on Chebyshev poly...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Nonlinear dynamics 2025-02, Vol.113 (3), p.2391-2409
Hauptverfasser:	Wang, Youchuang, Fei, Juntao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial neural networks Chebyshev approximation Controllers Fuzzy control Fuzzy logic Neural networks Nonlinear control Nonlinear systems Polynomials Robust control Sliding mode control
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!