.png){kind=icon}
.png){kind=icon}
Return
Self-tuning dynamic event-triggered consensus control for multi-agent systems and its implementation via self-triggering
.png){kind=icon}
PRE
AI
DOI：10.1016/j.isatra.2026.04.006.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A self-tuning dynamic event-triggered consensus control framework is proposed, where the triggering condition is adaptively regulated according to inter-agent state disagreement, effectively reducing triggering frequency while preserving convergence performance. • A self-tuning dynamic self-triggered consensus control strategy is developed, which eliminates the need for continuous state monitoring by determining triggering instants solely based on information at the latest triggering time, thereby significantly reducing sensing and communication costs. • An asynchronous measurement-based control structure is introduced, avoiding the requirement for simultaneous relative state measurements and further enhancing the practicality and triggering efficiency of the proposed methods. • Young’s inequality parameters are treated as design variables in the triggering mechanisms, providing flexibility to balance convergence speed and triggering behavior and offering new insights into parameter tuning for dynamic event/self-triggered control designs.
Keywords:
self-tuning
event-triggered control
consensus control
multi-agent systems
self-triggering
Journal
IF:
6.5
Papers:
5.9K
Citations:
2.0W