Frequency Domain Identification of Continuous-Time Hammerstein Systems With Adaptive Continuous-Time Rational Orthonormal Basis Functions-Reference-Cited by-同舟云学术

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Frequency Domain Identification of Continuous-Time Hammerstein Systems With Adaptive Continuous-Time Rational Orthonormal Basis Functions

Published:2023-12 Issue:12 Volume:68 Page:8044-8051
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Mi Wen¹^ORCID,Zhang Liming²^ORCID,Zheng Wei Xing³^ORCID,Zhang Sheng⁴^ORCID

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

2. Faculty of Science and Technology, University of Macau, Macau, China

3. School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia

4. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Provincial Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/10345385/10063935.pdf?arnumber=10063935

Reference37 articles.

1. Nichtlineare Integralgleichungen nebst Anwendungen

2. Block-oriented Nonlinear System Identification

3. Continuous-time Hammerstein system identification

4. A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems

5. Parameter identification of discontinuous hammerstein systems

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1. Recursive identification of kernel-based hammerstein model for online energy efficiency estimation of large-scale chemical plants;Energy;2024-11

2. Identification of the Hammerstein nonlinear system with noisy output measurements;Control Theory and Technology;2024-03-06

3. Parameter estimation of multivariable Wiener nonlinear systems by the improved particle swarm optimization and coupling identification;Information Sciences;2024-03

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