TY - GEN
T1 - Data-Driven Model-Free Adaptive Control for Consensus of Leaderless MASs
AU - Hu, Wenyan
AU - Liang, Quanyi
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the consensus control problem in leaderless multi-agent systems (MASs) with unknown nonlinear dynamics. To address this challenge, we apply a data-driven model-free adaptive control (MFAC) approach. Specifically, by the dynamic linearization and pseudo-partial derivatives (PPD) approximation, we can solely use input-output (I/O) data to design consensus algorithm. Under this algorithm, consensus is achieved when the parameter ? is smaller than reciprocal of greatest diagonal entry of the Laplacian matrix L. Furthermore, simulation results for both homogeneous and heterogeneous MAS validate the effectiveness of the approach.
AB - This paper investigates the consensus control problem in leaderless multi-agent systems (MASs) with unknown nonlinear dynamics. To address this challenge, we apply a data-driven model-free adaptive control (MFAC) approach. Specifically, by the dynamic linearization and pseudo-partial derivatives (PPD) approximation, we can solely use input-output (I/O) data to design consensus algorithm. Under this algorithm, consensus is achieved when the parameter ? is smaller than reciprocal of greatest diagonal entry of the Laplacian matrix L. Furthermore, simulation results for both homogeneous and heterogeneous MAS validate the effectiveness of the approach.
KW - Model-free adaptive control (MFAC)
KW - consensus control
KW - data-driven control
KW - dynamic linearization
KW - leaderless multi-agent systems
UR - https://www.scopus.com/pages/publications/105013969264
U2 - 10.1109/CCDC65474.2025.11091153
DO - 10.1109/CCDC65474.2025.11091153
M3 - 会议稿件
AN - SCOPUS:105013969264
T3 - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
SP - 4557
EP - 4562
BT - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Chinese Control and Decision Conference, CCDC 2025
Y2 - 16 May 2025 through 19 May 2025
ER -