loading page

Adaptive Fixed-Time Consensus of Uncertain Multi-Agent Systems With Event/Self-Triggered Strategy Under Directed Graphs
  • +2
  • Zhuoning Zhang,
  • Yongbao Wu,
  • Lei Xue,
  • Jian Liu,
  • Changyin Sun
Zhuoning Zhang
Southeast University School of Automation
Author Profile
Yongbao Wu
Southeast University School of Automation
Author Profile
Lei Xue
Southeast University School of Automation
Author Profile
Jian Liu
Southeast University School of Automation
Author Profile
Changyin Sun
Southeast University School of Automation

Corresponding Author:[email protected]

Author Profile

Abstract

This paper studies the practical fixed-time consensus (Fd-TC) for uncertain multi-agent systems (MASs) under strongly connected directed graphs utilizing adaptive event/self-triggered controllers, respectively. Considering the uncertainty in the agent’s nonlinear dynamic parameters, the adaptive event-triggered controller is designed by incorporating an event-triggered strategy with an adaptive control scheme, which achieves the practical Fd-TC for uncertain nonlinear MASs and the settling time remains constant irrespective of the initial conditions. Moreover, the designed controller is independent of any global information, including communication topology and network size. It also employs the hyperbolic tangent function to tackle Zeno and nondifferential issue. Following this, the adaptive event-triggered controller serves as the foundation for introducing a self-triggered controller, which eliminates the necessity for continuous monitoring and guarantees practical Fd-TC. Furthermore, the results are extended to a more generalized case with uncertain disturbances, highlighting the adaptability of the designed controller. Finally, two numerical simulation examples are conducted to validate the efficacy of the developed controllers.
12 Oct 2024Submitted to International Journal of Robust and Nonlinear Control
12 Oct 2024Submission Checks Completed
12 Oct 2024Assigned to Editor
12 Oct 2024Review(s) Completed, Editorial Evaluation Pending
15 Oct 2024Reviewer(s) Assigned