Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances

By Yanhui Zhang, Jian Sun, Hongjing Liang, Hongyi Li. IEEE Transactions on Cybernetics, 2020

338 citations recorded by the source corpus.

This paper considers the event-triggered tracking control problem of nonlinear multiagent systems with unknown disturbances. The event-triggering mechanism is considered in the controller update, which decreases the amount of communication and reduces the frequency of the controller update in practice. By designing a disturbance observer, the unknown external disturbances are estimated. Moreover, a part of adaptive parameters are only dependent on the number of followers, which weakens the computational burden. It is shown that all the signals are bounded, and the consensus tracking errors are located in a small neighborhood of the origin based on the Lyapunov stability theory and backstepping approach. Finally, the effectiveness of the approach proposed in this paper is proved by simulation results.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4daabe0cfcc9d10a6b7a34a178a49b9c300aa7bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Ziyang Meng
  2. Tingwen Huang
  3. Hongyi Li
  4. Zongli Lin
  5. Hongjing Liang
  6. Xinlei Yi
  7. Tao Yang
  8. Karl Henrik Johansson

In Control and Systems Engineering

  1. Mou Chen
  2. Hongyi Li
  3. Ziyang Meng
  4. Tingwen Huang
  5. Xinlei Yi
  6. Ying Wu
  7. Hongjing Liang
  8. Zongli Lin

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