Projects per year
Abstract
This article investigates the leader-following output consensus problem of heterogeneous linear multiagent systems, where the nonidentical followers are subject to norm bounded parameter uncertainties. Two novel distributed event-triggered consensus strategies based on state feedback and output feedback, respectively, are proposed to solve the leader-following output consensus problem. A dynamic event-triggering mechanism which involves internal state variables is proposed to determine the next triggering instant. It should be noted that the controllers can be designed without the knowledge of some global graph information, such as the eigenvalues of the Laplacian matrix associated with the corresponding communication graph and the number of agents. In addition, the interevent time can be prolonged and the Zeno behavior can be excluded with the proposed dynamic triggering mechanism. Finally, an example is presented to illustrate the effectiveness of the proposed controllers.
| Original language | English |
|---|---|
| Article number | 9265207 |
| Pages (from-to) | 1626-1637 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
| Volume | 52 |
| Issue number | 3 |
| Online published | 20 Nov 2020 |
| DOIs | |
| Publication status | Published - Mar 2022 |
Research Keywords
- Event-triggered control
- Heterogeneous multiagent systems (MASs)
- Leader-following output consensus
- Robust control
Fingerprint
Dive into the research topics of 'Leader-Following Output Consensus of Heterogeneous Uncertain Linear Multiagent Systems With Dynamic Event-Triggered Strategy'. Together they form a unique fingerprint.Projects
- 2 Finished
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GRF: Distributed Control of Multiple Dynamic Systems with Resources Constraints and Its Application to Mobile Robot Formation Control
LIU, L. (Principal Investigator / Project Coordinator)
1/01/19 → 23/11/23
Project: Research
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GRF: Distributed Cooperative Control of Networked Multiple Dynamic Systems with Time Delays and its Application
FENG, G. G. (Principal Investigator / Project Coordinator)
1/01/18 → 12/11/21
Project: Research