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Abstract
This article considers the leader-following consensus problem of multiagent systems subject to unbounded distributed communication delays under the condition that only the neighboring agents of the leader have access to the information on both the system matrix and the state of the leader. A novel adaptive distributed observer is proposed to estimate both the system matrix and the state of the leader under unbounded distributed communication delays, without requiring that the information of the unbounded delays is known a priori. A key technical result is first established, and a novel distributed controller is then developed based on the proposed distributed observer. It is shown that the resulting closed-loop system achieves the desired consensus. Finally, the effectiveness of the theoretical results is validated by two simulation examples. © 2025 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 1613-1625 |
| Journal | IEEE Transactions on Control of Network Systems |
| Volume | 12 |
| Issue number | 2 |
| Online published | 7 Jan 2025 |
| DOIs | |
| Publication status | Published - Jun 2025 |
Funding
This work was supported in part by the Research Grants Council of Hong Kong under grants CityU-11205221 and CityU-11207323, and National Nature Science Foundation of China (NSFC)-Excellent Young Scientists Fund (Hong Kong and Macao), Project No. 62222318, and the Fundamental Research Funds for the Central Universities, Nankai University under the grant numbers 63231165 and 63241452.
Research Keywords
- Adaptive distributed observers
- leader-following consensus
- multi-agent systems
- unbounded communication delays
RGC Funding Information
- RGC-funded
Fingerprint
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GRF: Distributed Optimal Self-Deployment Control of Multiple Dynamic Systems subject to Various Uncertainties and Communication Constraints
LIU, L. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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GRF: Cooperative Adaptive Control of Networked Multiple Dynamical Systems with Unknown Parameters and Its Application
FENG, G. G. (Principal Investigator / Project Coordinator) & LIU, L. (Co-Investigator)
1/01/22 → 9/01/26
Project: Research
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