State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors-Reference-Cited by-同舟云学术

State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors

Published:2019-06-09 Issue:7 Volume:33 Page:1157-1173
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:

Zhang Xiao¹^ORCID,Ding Feng¹²³^ORCID,Yang Erfu⁴

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things EngineeringJiangnan University Wuxi China

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

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

4. Space Mechatronic Systems Technology LaboratoryUniversity of Strathclyde Scotland UK

Funder

National Natural Science Foundation of China

Project 211

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3027

Reference63 articles.

1. A proportional differential control method for a time-delay system using the Taylor expansion approximation

2. Application of the Newton iteration algorithm to the parameter estimation for dynamical systems

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4. A regularized variable projection algorithm for separable nonlinear least‐squares problems;Chen G‐Y;IEEE Trans Autom Control,2019

5. Modified Gram‐Schmidt method‐based variable projection algorithm for separable nonlinear models;Chen G‐Y;IEEE Trans Neural Netw Learn Syst,2019

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