TY - JOUR T1 - Consensus Control of the Multi-Agent Systems under both Disturbances and Noises AU - Zhang , Fuchen AU - Lin , Da JO - Journal of Nonlinear Modeling and Analysis VL - 3 SP - 602 EP - 611 PY - 2024 DA - 2024/08 SN - 6 DO - http://doi.org/10.12150/jnma.2024.602 UR - https://global-sci.org/intro/article_detail/jnma/23351.html KW - Multi-agent systems, consensus, numerical simulations. AB -
Consensus tracking control problem of the multi-agent systems with both noise and disturbances is studied in this paper. A robust adaptive control scheme is designed according to Lyapunov stability theory. The main contribution of this paper is that the consensus is realized in multi-agent systems with both noise and external disturbances. Numerical simulations are carried out for the proposed scheme to demonstrate the effectiveness of the control strategy proposed in this paper.