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Distributed Quantized Consensus With Recursive Channel Filters Over Directed Networks
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AI
DOI：10.1109/TCSII.2021.3099875.png)
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摘要
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This brief investigates the quantized consensus in discrete-time multi-agent systems over directed networks with limited bandwidths of communication channels and limited capacities of physical memories. A dynamic consensus protocol based on the first-order recursive channel filter is proposed. Several conditions for preserving the asymptotic consensus are obtained, which are dependent on the filter parameters, the sampling period and the topologies of the communication networks. Then, by describing the closed-loop multi-agent system via a higher-order state-space model, the effects of the probabilistic quantization are analyzed. We prove that the quantized consensus is reached under the proposed protocol with quantized communications. Moreover, the distributed PI based protocol is discussed as a special case of the proposed dynamic protocol.
Keyword:
Protocols
Transfer functions
Quantization (signal)
Probabilistic logic
Bandwidth
Eigenvalues and eigenfunctions
Directed graphs
Probabilistic quantization
directed communication network
recursive filter
consensus
期刊
I
IF:
4.9
论文数:
8.8K
被引数:
2.5W
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