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

Authors:
Top Cited Papers
Publisher website
Google Scholar
Abstract
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.
Funding Information
  • National Natural Science Foundation of China (61703051, 61622302, 61522303)
  • Department of Education of Guangdong Province (2017KZDXM027)
  • Department of Education of Liaoning Province (LZ2017001)
  • Innovative Research Team Program of Guangdong Province Science Foundation (2018B030312006)
  • Science and Technology Planning Project of Guangdong Province (2017B010116006)

This publication has 43 references indexed in Scilit: