Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise-Reference-Cited by-同舟云学术

Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise

Published:2018-08-21 Issue:13 Volume:49 Page:2763-2775
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Liu Lijuan¹,Ding Feng¹²³,Zhu Quanmin⁴

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

3. Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

4. Department of Engineering Design and Mathematics, University of the West of England, Bristol, England

Funder

Natural Science Foundation of China

National First-Class Discipline Program of Light Industry Technology and Engineering

the Graduate Education Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2018.1511873

Reference58 articles.

1. Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise

2. Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle

3. Decomposition based fast least squares algorithm for output error systems

4. Two-stage least squares based iterative estimation algorithm for CARARMA system modeling

5. The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise

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