A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications

This article proposes a novel fixed-time converging forward-backward-forward neurodynamic network (FXFNN) to deal with mixed variational inequalities (MVIs). A distinctive feature of the FXFNN is its fast and fixed-time convergence, in contrast to conventional forward-backward-forward neurodynamic n...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on cybernetics 2022-12, Vol.52 (12), p.12942-12953
Hauptverfasser:	Ju, Xingxing, Hu, Dengzhou, Li, Chuandong, He, Xing, Feng, Gang
Format:	Artikel
Sprache:	eng
Schlagworte:	Control theory Convergence Fixed-time convergence Inequalities Initial conditions min–max problems mixed variational inequalities (MVIs) neurodynamic networks Neurodynamics Optimization Signal reconstruction sparse signal reconstruction Stability analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!