The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle-Reference-Cited by-同舟云学术

The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle

Published:2019-06-10 Issue:7 Volume:33 Page:1189-1211
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Li Meihang¹^ORCID,Liu Ximei¹^ORCID,Ding Feng¹²³^ORCID

Affiliation:

1. College of Automation and Electronic EngineeringQingdao University of Science and Technology Qingdao China

2. School of Electrical and Electronic EngineeringHubei University of Technology Wuhan China

3. School of Internet of Things EngineeringJiangnan University Wuxi China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3029

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1. A Variable Projection Approach for Efficient Estimation of RBF-ARX Model

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4. Modeling and SOC estimation of lithium iron phosphate battery considering capacity loss;Li JH;Prot Control Mod Power Syst,2018

5. The parameter estimation algorithms based on the dynamical response measurement data

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