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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dequan Li Xiaofan Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Automation, Shanghai Jiaotong University, Dongchuan Road 800, Shanghai, P. R. China (Dequan Li; Xiaofan Wang) |
| Abstract | The paper concerns with the problem of asynchronous gossip-based dynamic averaging estimation with communication constraints, where each agent estimates the local time-varying parameters individually, then random pairs of connected agents iteratively and locally perform a pairwise average of their estimations through quantized information communication. How quantization affects the evolution of the gossip-based dynamic averaging estimation algorithm is investigated. We prove that the agents' states converge to a random variable that deviates from the average of the estimated parameters. We derive a strong result about the upper bound for the asymptotic mean square error of the states, which just captures effect of the quantized precision and is independent of the network parameters. |
| Starting Page | 286 |
| Ending Page | 291 |
| File Size | 798908 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478149 |
| e-ISBN | 9781424478156 |
| DOI | 10.1109/ICARCV.2010.5707344 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heuristic algorithms Quantization Estimation Algorithm design and analysis Mean square error methods Equations Approximation algorithms distributed algorithem gossip dynamic average consensus quantization |
| Content Type | Text |
| Resource Type | Article |
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