Identification for Wiener‐Hammerstein systems under quantized inputs and quantized output observations-Reference-Cited by-同舟云学术

Identification for Wiener‐Hammerstein systems under quantized inputs and quantized output observations

Published:2019-09-11 Issue:1 Volume:23 Page:118-127
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Guo Jin¹²^ORCID,Zhao Yanlong³^ORCID

Affiliation:

1. School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

2. Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing China

3. Key Laboratory of Systems and Control Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences Beijing China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2237

Reference24 articles.

1. Nonlinear System Identification

2. Block-oriented Nonlinear System Identification

3. Maximum likelihood identification of Wiener–Hammerstein models

4. Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling

5. Wiener–Hammerstein system identification – an evolutionary approach

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