An RNN-Based Algorithm for Decentralized-Partial-Consensus Constrained Optimization

This technical note proposes a decentralized-partial-consensus optimization (DPCO) problem with inequality constraints. The partial-consensus matrix originating from the Laplacian matrix is constructed to tackle the partial-consensus constraints. A continuous-time algorithm based on multiple interco...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-01, Vol.34 (1), p.534-542
Hauptverfasser:	Xia, Zicong, Liu, Yang, Qiu, Jianlong, Ruan, Qihua, Cao, Jinde
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Constraints Cost function Decentralized-partial-consensus optimization (DPCO) Learning systems Neural networks Neurodynamics nonsmooth analysis Optimization Optimization methods partial-consensus matrix Recurrent neural networks recurrent neural networks (RNNs) Task analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!