TY - JOUR
T1 - Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems
AU - Xu, Zekun
AU - Ji, Ruihang
AU - Hu, Qinglei
AU - Ge, Shuzhi Sam
AU - Li, Dongyu
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2026
Y1 - 2026
N2 - This article develops a dual-link coded event-triggered control (DL-CEC) for consensus in nonlinear multiagent system. To reduce the communication burden of signal transmission between the control box and actuator box or among agents and to enhance the security of information exchange, a dual-link coded scheme is proposed to compress each transmitted information into an L-length string. Furthermore, since the intrinsic complexity of nonlinear systems often causes traditional prescribed performance methods to fail in meeting constraints during the initial stages of operation, an adaptive prescribed performance (APP) scheme is introduced. By utilizing auxiliary functions, the APP is capable of dynamically adjusting performance boundaries, enabling seamless adaptation to varying initial system conditions. As a result, it ensures the tracking error is rigorously guaranteed to remain within a user-defined range over a prescribed time horizon, effectively accommodating diverse initial conditions of the system. By integrating DL-CEC with the APP method, the proposed control strategy ensures bounded consensus tracking with reduced communication cost and prescribed-time performance under arbitrary initial conditions. Simulation experiments corroborate the effectiveness and feasibility of the proposed approach.
AB - This article develops a dual-link coded event-triggered control (DL-CEC) for consensus in nonlinear multiagent system. To reduce the communication burden of signal transmission between the control box and actuator box or among agents and to enhance the security of information exchange, a dual-link coded scheme is proposed to compress each transmitted information into an L-length string. Furthermore, since the intrinsic complexity of nonlinear systems often causes traditional prescribed performance methods to fail in meeting constraints during the initial stages of operation, an adaptive prescribed performance (APP) scheme is introduced. By utilizing auxiliary functions, the APP is capable of dynamically adjusting performance boundaries, enabling seamless adaptation to varying initial system conditions. As a result, it ensures the tracking error is rigorously guaranteed to remain within a user-defined range over a prescribed time horizon, effectively accommodating diverse initial conditions of the system. By integrating DL-CEC with the APP method, the proposed control strategy ensures bounded consensus tracking with reduced communication cost and prescribed-time performance under arbitrary initial conditions. Simulation experiments corroborate the effectiveness and feasibility of the proposed approach.
KW - Adaptive prescribed performance (APP)
KW - consensus control
KW - dual-link event-triggered scheme
KW - nonlinear multiagent systems (MASs)
UR - https://www.scopus.com/pages/publications/105017872336
U2 - 10.1109/TCYB.2025.3610698
DO - 10.1109/TCYB.2025.3610698
M3 - 文章
AN - SCOPUS:105017872336
SN - 2168-2267
VL - 56
SP - 379
EP - 392
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
IS - 1
ER -