Bounded consensus of double-integrator stochastic multi-agent systems | Zendy

Mei Luo | Zendy; JinRong Wang | Zendy; Yumei Liao | Zendy

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Bounded consensus of double-integrator stochastic multi-agent systems

Author(s) -

Mei Luo,

JinRong Wang,

Yumei Liao

Publication year - 2022

Publication title -

discrete and continuous dynamical systems - s

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.481

H-Index - 34

eISSN - 1937-1632

pISSN - 1937-1179

DOI - 10.3934/dcdss.2022088

Subject(s) - integrator , bounded function , correctness , network topology , double integrator , multi agent system , topology (electrical circuits) , mathematics , computer science , discrete mathematics , algorithm , combinatorics , mathematical analysis , telecommunications , artificial intelligence , bandwidth (computing) , operating system

In the framework of fixed topology and stochastic switching topologies, we study the mean-square bounded consensus(MSBC) of double-integrator stochastic multi-agent systems(SMASs) including additive system noises and communication noises. Combining algebra, graph theory and random analysis, we obtain several equivalent conditions for double-integrator SMASs to reach MSBC. In addition, the simulation examples also verify the correctness of the theoretical results.

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