Adaptive fuzzy formation control for heterogeneous multi-agent systems using time-varying IBLFs

Abstract In this article, the adaptive fuzzy formation control technique is addressed for heterogeneous multi-agent systems (HMASs) under time-varying full state constraints(TVFSCs). The time-varying integral barrier Lyapunov functions (TVIBLFs) are used to design adaptive controllers for HMASs for the first time. The introduction of TVIBLFs not only ensures that all states keep in the TVFSC sets, but also relaxes the feasibility conditions and deals with the coupling terms in local formation tracking errors. Meanwhile, the uncertain items are estimated by the fuzzy logic systems. Moreover, the presented control method guarantees that agents will form the desired time-varying formations in fixed time, and the convergence time remains uncorrelated with any original parameters. Finally, the availability of the control technique is proofed through simulations..

Medienart:

Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:111

Enthalten in:

Nonlinear dynamics - 111(2023), 17 vom: 17. Juli, Seite 16077-16091

Sprache:

Englisch

Beteiligte Personen:

Hou, Han-Qian [VerfasserIn]
Liu, Yan-Jun [VerfasserIn]
Liu, Lei [VerfasserIn]
Lan, Jie [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

Adaptive control
Fixed time stability
Heterogeneous multi-agent systems
Integral barrier Lyapunov functions
Time-varying full state constraints

Anmerkungen:

© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s11071-023-08686-2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2145007253