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Linear Consensus Algorithms Based on Balanced Asymmetric Chains
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DOI：10.1109/TAC.2015.2400657.png)
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摘要
En 中文
Multi-agent consensus algorithms, with update steps based on so-called balanced asymmetric chains, are analyzed. For such algorithms, it is shown that: (i) the empirical distribution of state values converges asymptotically and (ii) the occurrence of consensus or multiple consensus is directly related to the property of absolute infinite flow of the underlying update chain. An example is provided to illustrate the novelty of the results.
Keyword:
Balanced asymmetry
consensus
decentralized systems
multiple consensus
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期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
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