Matrix-Weighted Consensus of Second-Order Discrete-Time Multiagent Systems

【Author】 Miao, Suoxia; Su, Housheng; Chen, Shiming

【Source】IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

【影响因子】14.255

【Abstract】In this article, we study the matrix-weighted consensus issues for second-order discrete-time multiagent systems on directed network topology. Under the designed matrix-weighted consensus algorithm, based on the eigenvalues of the Laplacian matrix, coupling gains, and discrete interval, we build some consensus conditions for reaching discrete-time consensus and deduce some simplified and straightforward consensus conditions for undirected network topology. Besides, for a given network topology, we theoretically analyze the influence of the coupling gains and discrete intervals on the consensus conditions of the network dynamics. Finally, we offer several simulation examples to validate the obtained results.

【Keywords】Network topology; Eigenvalues and eigenfunctions; Couplings; Topology; Laplace equations; Symmetric matrices; Multi-agent systems; Consensus; discrete time; matrix weighted; multiagent systems (MASs); second order

【发表时间】

【收录时间】2022-08-28

【文献类型】实验仿真

【主题类别】

区块链技术-核心技术-共识机制