Prescribed-Time Consensus of Nonlinear Multi-Agent Systems by Dynamic Event-Triggered and Self-Triggered Protocol

Authors:
Top Cited Papers
Publisher website
Google Scholar
Abstract
This article proposes the dynamic event-triggered and self-triggered protocols to achieve the prescribed-time consensus of a class of nonlinear multi-agent systems with a trade-off performance. Firstly, a dynamic event-triggered control protocol and a time-varying parameter are jointly designed to accomplish the prescribed-time consensus. Secondly, a dynamic self-triggered control protocol is further designed to avoid continuous monitoring of the system states. The designed control protocols both can ensure the avoidance of the Zeno phenomenon and allow for dynamic adjustment between the specified time and the inter-event time. Specially, the minimum inter-event time can be designed as an arbitrarily large bounded constant when every agent is an integrator system. Finally, an example system is utilized to demonstrate the effectiveness of the designed algorithms.
Funding Information
  • Grant (62203142)
  • National Key Laboratory of Autonomous Intelligent Autonomous Systems (2024-SRIAS-KF-006)
  • Aeronautical Science Foundation of China (2022Z071077009)
  • New Era-Longjiang Excellent Master and PhD. Thesis Funding Project (LJYXL2022-008)
  • China Postdoctoral Science Foundation (2022M710966, 2022TQ0096)

This publication has 56 references indexed in Scilit: