Event-triggered observer-based tracking control for leader-follower multi-agent systems
Autor: | Jinhuan Wang, Pengxiao Zhang |
---|---|
Rok vydání: | 2016 |
Předmět: |
0209 industrial biotechnology
Class (computer programming) Observer (quantum physics) Computer science Multi-agent system Control (management) 02 engineering and technology Tracking (particle physics) Theoretical Computer Science 020901 industrial engineering & automation Artificial Intelligence Control and Systems Engineering Control theory Graph (abstract data type) State observer Electrical and Electronic Engineering Leader follower Software Information Systems |
Zdroj: | Kybernetika. :589-606 |
ISSN: | 1805-949X 0023-5954 |
DOI: | 10.14736/kyb-2016-4-0589 |
Popis: | This paper considers the consensus tracking problem for a class of leader-follower multi-agent systems via event-triggered observer-based control. In our set-up, only a subset of the followers can obtain some relative information on the leader. Assume that the leader's control input is unknown for the followers. In order to track such a leader, we design two novel event-triggered observer-based control strategies, one centralized and the other distributed. One can prove that under the proposed control strategies, the tracking problem can be solved if the communication graph of the agents is connected. Furthermore, the Zeno-behavior of triggering time sequences can be avoided. Finally, a numerical example is given to illustrate the effectiveness of the obtained theoretical results. |
Databáze: | OpenAIRE |
Externí odkaz: |