TY - GEN
T1 - Data-Driven Event-Triggered Predictive Control for Nonlinear Networked Multi-Agent Systems
AU - Luo, Wencheng
AU - Lu, Pingli
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This article studies the tracking issue for heterogeneous nonlinear networked multi-agent systems (NMASs) subject to communication delays. To deal with the performance degradation induced by communication delays among agents, a data-driven event-triggered predictive control (ETPC) scheme is presented. Under this scheme, an adaptive event-triggered mechanism is designed to optimize network resource utilization. Subsequently, stability criteria for the closed-loop system is given. Finally, simulation results are exhibited to verify the validity of the data-driven ETPC scheme.
AB - This article studies the tracking issue for heterogeneous nonlinear networked multi-agent systems (NMASs) subject to communication delays. To deal with the performance degradation induced by communication delays among agents, a data-driven event-triggered predictive control (ETPC) scheme is presented. Under this scheme, an adaptive event-triggered mechanism is designed to optimize network resource utilization. Subsequently, stability criteria for the closed-loop system is given. Finally, simulation results are exhibited to verify the validity of the data-driven ETPC scheme.
KW - communication delays
KW - data-driven control
KW - event-triggered control
KW - Networked multi-agent systems
UR - https://www.scopus.com/pages/publications/105041066043
U2 - 10.1109/CAC67268.2025.11486960
DO - 10.1109/CAC67268.2025.11486960
M3 - Conference contribution
AN - SCOPUS:105041066043
T3 - Proceedings - 2025 China Automation Congress, CAC 2025
SP - 3322
EP - 3327
BT - Proceedings - 2025 China Automation Congress, CAC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 China Automation Congress, CAC 2025
Y2 - 26 September 2025 through 28 September 2025
ER -