Abstract
We study the problem of parameter estimation over multi-agent networks, where all nodes are corrupted by both input and output noise. A series of BCLMS algorithms based on diffusion strategies have been proposed, which modify the estimates while increase the communication resources. In this paper, We propose a gossip BCLMS algorithm, which can alleviate the communication pressure by reducing the interaction with the surrounding nodes and improve estimation performance of the network. The simulation results have confirmed the effectiveness of the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 38th Chinese Control Conference, CCC 2019 |
| Editors | Minyue Fu, Jian Sun |
| Publisher | IEEE Computer Society |
| Pages | 3703-3707 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789881563972 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Event | 38th Chinese Control Conference, CCC 2019 - Guangzhou, China Duration: 27 Jul 2019 → 30 Jul 2019 |
Publication series
| Name | Chinese Control Conference, CCC |
|---|---|
| Volume | 2019-July |
| ISSN (Print) | 1934-1768 |
| ISSN (Electronic) | 2161-2927 |
Conference
| Conference | 38th Chinese Control Conference, CCC 2019 |
|---|---|
| Country/Territory | China |
| City | Guangzhou |
| Period | 27/07/19 → 30/07/19 |
Keywords
- Bias-compensated Method
- Communication Resources
- Gossip Strategy
- Parameter Estimation
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Yang, J., Jia, L., Ma, C., Fan, L., & Kanae, S. (2019). Gossip BCLMS method over multi-agent networks. In M. Fu, & J. Sun (Eds.), Proceedings of the 38th Chinese Control Conference, CCC 2019 (pp. 3703-3707). Article 8866323 (Chinese Control Conference, CCC; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2019.8866323