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 - <p style="text-align: justify;">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.</p>