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Adaptive Containment Control of Multi-Agent Systems with Input Saturation Constraints.

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Bibliographische Detailangaben
Titel: Adaptive Containment Control of Multi-Agent Systems with Input Saturation Constraints.
Autoren: Jiaxin Yang1 yangjiaxin_0924@163.com, Chuang Gao2 13500422153@163.com, Biao Gao3 gaobiao_0910@qq.com, Mengyi Jiang4 mengyimiao@163.com
Quelle: IAENG International Journal of Applied Mathematics. Dec2025, Vol. 55 Issue 12, p4356-4363. 8p.
Schlagwörter: *MULTIAGENT systems, *BACKSTEPPING control method, *ADAPTIVE control systems, *INTERCOMMUNICATION systems, *LYAPUNOV functions, *COOPERATIVE control systems, *COMPUTER simulation
Abstract: This study addresses the input saturation problem in multi-agent systems (MAS) by developing a novel state feedback control scheme based on the backstepping method. The proposed approach targets cooperative control scenarios where followers cannot directly access leader information, which is a common limitation in heterogeneous communication environments. An adaptive control law ensures followers converge to the leaders' convex hull. An auxiliary system mitigates input saturation. Lyapunov function confirms the boundedness of all system signals, and numerical simulations validate the feasibility of the proposed scheme. [ABSTRACT FROM AUTHOR]
Datenbank: Academic Search Index
Beschreibung
Abstract:This study addresses the input saturation problem in multi-agent systems (MAS) by developing a novel state feedback control scheme based on the backstepping method. The proposed approach targets cooperative control scenarios where followers cannot directly access leader information, which is a common limitation in heterogeneous communication environments. An adaptive control law ensures followers converge to the leaders' convex hull. An auxiliary system mitigates input saturation. Lyapunov function confirms the boundedness of all system signals, and numerical simulations validate the feasibility of the proposed scheme. [ABSTRACT FROM AUTHOR]
ISSN:19929978