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ATU: An Aggregate-Then-Update Diffusion Intelligent Estimation Scheme for Adaptive Networked Systems

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成果类型:
期刊论文
作者:
Wu, Mou;Xiong, Naixue*;Tan, Liansheng;Wei, Jianguo;Wu, Jie
通讯作者:
Xiong, Naixue
作者机构:
[Wu, Mou] Hubei Univ Sci & Technol, Sch Comp Sci & Technol, Xianning 437100, Peoples R China.
[Xiong, Naixue] Xian Univ Architecture & Technol, Sch Resources Engn, Xian 710055, Peoples R China.
[Tan, Liansheng] Univ Tasmania, Coll Sci & Engn, Hobart, Tas 7001, Australia.
[Tan, Liansheng] Cent China Normal Univ, Comp Sci Dept, Wuhan 430079, Peoples R China.
[Wei, Jianguo] Tianjin Univ, Coll Intelligence & Comp, Tianjin 300350, Peoples R China.
通讯机构:
[Xiong, Naixue] X
Xian Univ Architecture & Technol, Sch Resources Engn, Xian 710055, Peoples R China.
语种:
英文
关键词:
Convergence;Estimation;Peer-to-peer computing;Adaptive systems;Location awareness;Robustness;Newton method;Adaptive networks;cooperation strategy;diffusion;distributed estimation;Gauss-Newton (GN) method;nonlinear least squares (NLLSs);target localization
期刊:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN:
2168-2216
年:
2022
卷:
52
期:
6
页码:
3822-3833
基金类别:
Local Science and Technology Development Fund guided by Central Government (Grant Number: 2019ZYYD009)
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
For distributed estimation arising in the nonlinear least squares (NLLSs) problems over adaptive networks, where every node has the abilities of data processing and learning, only the incomplete local data are exploited by the traditional noncooperative method, thereby resulting in the degradation on estimation performance. In this article, a cooperative diffusion strategy is proposed by using a Gauss-Newton (GN) method in order to fully utilize the diversity of temporal-spatial data on local updates. The proposed algorithm includes two steps, ...

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