Abstract
This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.
| Original language | English |
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| Title of host publication | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 25-30 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350316889 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 International Conference on Neuromorphic Computing, ICNC 2023 - Wuhan, China Duration: 15 Dec 2023 → 17 Dec 2023 |
Publication series
| Name | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
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Conference
| Conference | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 15/12/23 → 17/12/23 |
Keywords
- attack-free protocol
- consensus problem
- specific-time observer
- unknown input
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Zhao, Y., Lv, Y., & Yu, H. (2023). Distributed Robust State Estimation of Uncertain Complex Networked Systems. In 2023 International Conference on Neuromorphic Computing, ICNC 2023 (pp. 25-30). (2023 International Conference on Neuromorphic Computing, ICNC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNC59488.2023.10462865