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Abstract
This article investigates the problem of robust adaptive leaderless consensus for heterogeneous uncertain non-minimum phase linear multi-agent systems over directed communication graphs. Each agent is assumed to be of unknown nominal dynamics and also subject to external disturbances and/or unmodeled dynamics. A novel distributed robust adaptive control strategy is proposed. It is shown that the robust adaptive leaderless consensus problem is solved with the proposed control strategy under some sufficient conditions. Two examples are provided to demonstrate the efficacy of the proposed control strategy. © 2024 The Authors.
| Original language | English |
|---|---|
| Pages (from-to) | 92-100 |
| Journal | Journal of Automation and Intelligence |
| Volume | 3 |
| Issue number | 2 |
| Online published | 16 Mar 2024 |
| DOIs | |
| Publication status | Published - Jun 2024 |
Funding
This work was supported by Research Grants Council of Hong Kong under Grant CityU-11205221 .
Research Keywords
- Cooperative control
- Leaderless consensus
- Multi-agent systems
- Non-minimum phase
- Robust adaptive control
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Robust adaptive leaderless consensus of unknown non-minimum phase linear multi-agent systems subject to disturbances and/or unmodeled dynamics'. Together they form a unique fingerprint.Projects
- 1 Finished
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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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