期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 53, 期 2, 页码 1150-1159出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2022.3193915
关键词
Protocols; Noise measurement; Weight measurement; Laplace equations; Topology; Multi-agent systems; Graph theory; Cluster consensus; leader-following; measurement noise; multiagent systems (MASs); weighted cooperative-competitive networks
This paper investigates the leader-following cluster consensus problem for multiagent systems with weighted cooperative-competitive networks and measurement noise. The proposed protocols and theoretical analysis demonstrate their effectiveness in different types of networks. Numerical examples provide further evidence.
Leader-following cluster consensus is investigated for multiagent systems with weighted cooperative-competitive networks and measurement noise. A stochastic approximation protocol is proposed for interactively balanced and sub-balanced networks, and pinning control is introduced to deal with the divergence phenomenon in interactively unbalanced networks. With these protocols, sufficient conditions for reaching a strong mean-square leader-following cluster consensus are established for all the three types of networks, which are also extended to the cases without measurement noise. Numerical examples illustrate the effectiveness of the proposed protocols and theoretical analysis.
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