The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS) problems with the usual objective function (i.e., sum of squared residuals). The aim is to estimate a global parameter of interest across...

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Bibliographic Details
Main Authors: Mou Wu, Liangji Zhong, Liansheng Tan, Naixue Xiong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Gauss-Newton method
incremental learning
nonlinear least squares
cyclic routing
sequential fusion
Online Access:https://ieeexplore.ieee.org/document/9121962/

Internet

https://ieeexplore.ieee.org/document/9121962/

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