Model-free adaptive iterative learning containment control for unknown heterogeneous nonlinear MASs with disturbances

A novel model-free adaptive iterative learning control scheme is proposed for the containment control problem of unknown heterogeneous nonlinear multi-agent systems (MASs) with bounded measurable and unmeasurable disturbances. In details, the proposed scheme includes following parts. First, the agen...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 515; S. 121 - 132
Hauptverfasser:	Liu, Tong, Hou, Zhongsheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2023
Schlagworte:	Containment control Disturbances Iterative learning control (ILC) Model-free adaptive control (MFAC) Multi-agent systems (MASs) Model-free adaptive control (MFAC) Containment control Iterative learning control (ILC) Disturbances Multi-agent systems (MASs)
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!