JOURNAL ARTICLE

Finite-time average consensus for multi-agent systems under impulsive disturbances

GENG Xiaopeng; Lü Xiaoxiao

Year: 2023 Journal:   DOAJ (DOAJ: Directory of Open Access Journals)

Abstract

This study explores finite-time average consensus in multi-agent systems with switching topologies under impulsive disturbances. Utilizing algebraic graph theory, finite-time stability theorems, and impulsive control theory,criteria for finite-time consensus in multi-agent systems are established. Additionally, the quiescent time affected by impulsive disturbances is estimated. The validity of these conclusions is demonstrated through a numerical example.Simulation results indicate that the number of impulsive disturbances, the connectivity of the algebraic topology, and the initial conditions of the system all influence the quiescent time.

Keywords:
Control theory (sociology) Network topology Algebraic number Stability (learning theory) Impulse (physics) Algebraic connectivity Graph Algebraic graph theory

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