Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947187 | Neurocomputing | 2017 | 17 Pages |
Abstract
This paper investigates the fixed-time event-triggered consensus control problem for multi-agent systems with nonlinear uncertainties. The fixed-time consensus protocols are presented based on event-triggered strategies which can significantly reduce energy consumption and the frequency of the controller updates. Both the centralized and the distributed consensus control strategies are considered. It is proved that under the proposed event-triggered consensus control strategies the Zeno behavior is avoided. Compared with the finite-time consensus, the fixed-time consensus can be achieved within a fixed settling time with arbitrary initial states of the agents. Finally, two examples are presented to show the effectiveness of the fixed-time event-triggered consensus protocols.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jian Liu, Yao Yu, Qing Wang, Changyin Sun,