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...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 515; s. 121 - 132
Hlavní autori:	Liu, Tong, Hou, Zhongsheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2023
Predmet:	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
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