Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique-Reference-Cited by-同舟云学术

Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique

Published:2019-03-17 Issue:6 Volume:50 Page:1121-1135
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Xia Huafeng¹²,Yang Yongqing¹,Ding Feng¹³⁴^ORCID,Alsaedi Ahmed⁴^ORCID,Hayat Tasawar⁴

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, People's Republic of China

2. Taizhou Electric Power Conversion and Control Engineering Technology Research Center, Taizhou University, Taizhou, People's Republic of China

3. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China

4. Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Natural Science Foundation of China

111 Project

Taizhou Education Bureau

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2019.1590664

Reference69 articles.

1. Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing

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4. Performance Evaluation with Improved Receiver Design for Asynchronous Coordinated Multipoint Transmissions

5. Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system

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