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Adaptive bipartite output containment control of heterogeneous multi-agent systems with leaders bounded unknown inputs.

Authors :
Cheng, Jie
Zhan, Xisheng
Wu, Jie
Han, Tao
Yan, Huaicheng
Source :
Neurocomputing. Nov2023, Vol. 556, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

This paper researches the adaptive bipartite output containment problem, for a signed graph of heterogeneous multi-agent systems (HMASs). The dynamics of leaders are subject to unknown but bounded inputs, which cannot be measured by followers. Therefore, an containment control protocol based on distributed observer is proposed. An adaptive state and an output feedback algorithm are designed to ensure that cooperative and antagonistic agents enter different convex hull. Then, based on the output regulation approach, Lyapunov stability analysis and some other methods, the bipartite output containment control is realized. Finally, we validate the analytical results by numerical simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
556
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
171880068
Full Text :
https://doi.org/10.1016/j.neucom.2023.126699