Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems-Reference-Cited by-同舟云学术

Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems

Published:2019-02-20 Issue:4 Volume:13 Page:477-485
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Mao Yawen¹,Ding Feng¹²^ORCID,Xu Ling¹,Hayat Tasawar³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan UniversityWuxi214122People's Republic of China

2. College of Automation and Electronic Engineering, Qingdao University of Science and TechnologyQingdao266042People's Republic of China

3. Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5411

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