期刊导航

论文摘要

改进概率量化分布式一致性算法

Distributed Consensus Algorithm with Modified Probabilistic Quantization

作者:彭换新(南京工业职业技术学院 机械系;南京理工大学 自动化学院);戚国庆(南京理工大学 自动化学院);盛安冬(南京理工大学 自动化学院)

Author:Peng Huanxin(Dept. of Mechanical Eng.,Nanjing Inst. of Industry Technol.;School of Automation,Nanjing Univ. of Sci. and Technol.);Qi Guoqing(School of Automation,Nanjing Univ. of Sci. and Technol.);Sheng Andong(School of Automation,Nanjing Univ. of Sci. and Technol.)

收稿日期:2013-03-05          年卷(期)页码:2013,45(5):103-108

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:量化通信;分布式一致性;概率量化

Key words:quantization communication;distributed consensus;probabilistic quantization

基金项目:国家自然科学基金资助项目(61104186)

中文摘要

为了提高量化通信下分布式一致性算法的收敛精度,对概率量化分布式一致性算法进行改进,提出改进概率量化分布式一致性算法。在改进概率量化分布式一致性算法中,节点利用自身状态值和邻接节点的概率量化信息进行节点的状态更新。对改进概率量化分布式一致性算法的收敛性和均方误差进行了分析、计算和仿真。结果表明改进概率量化分布式一致性虽然不能收敛到一致性,但是均方误差更小,收敛精度更高。

英文摘要

In order to improve the accuracy of distributed consensus algorithms under quantization communication, a modified probabilistic quantization distributed consensus algorithm was proposed based on the probabilistic quantization distributed consensus algorithm. In the proposed algorithm, states of nodes were updated by itself states and the probabilistic quantization values of the adjacent nodes. The convergence performance and the mean square error of the modified probabilistic quantization distributed consensus algorithm were analyzed and calculated. The results showed that the accuracy of modified probabilistic quantization distributed consensus algorithm is improved dramatically.

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