Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise-Reference-Cited by-同舟云学术

Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise

Published:2020-03-10 Issue:5 Volume:34 Page:590-613
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:

Cui Ting¹^ORCID,Chen Feiyan²,Ding Feng¹³^ORCID,Sheng Jie⁴

Affiliation:

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

2. School of ScienceXi'an Jiaotong Liverpool University Suzhou China

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

4. School of Engineering and TechnologyUniversity of Washington Tacoma Washington

Funder

the Key Program Special Fund in XJTLU

the 111 Project

the 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.3101

Reference96 articles.

1. A stochastic subspace system identification algorithm for state-space systems in the general 2-D Roesser model form

2. Implementation of a square-root filtering approach in marginalized particle filters for mixed linear/nonlinear state-space models

3. The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique

4. Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

5. Marginalized approximate filtering of state-space models

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