Instrumental variable-based parameter estimation for nonlinear systems with scarce measurements-Reference-Cited by-同舟云学术

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Instrumental variable-based parameter estimation for nonlinear systems with scarce measurements

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
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Author:

Xia Huafeng¹,Yin Weixia²,Miao Xinghua³

Affiliation:

1. Taizhou University,Taizhou Electric Power Conversion and Control Engineering Technology Research Center,Taizhou,China,225300

2. Taizhou University,School of Fine Arts,Taizhou,China,225300

3. Taizhou University,School of Shipping and Mechatronic Engineering,Taizhou,China,225300

Funder

Nature

Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033520.pdf?arnumber=10033520

Reference29 articles.

1. Extensions to “Output prediction under scarce data operation: control applications”

2. Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements

3. EM algorithm-based identification of a class of nonlinear Wiener systems with missing output data

4. Design of robust output predictors under scarce measurements with time-varying delays

5. Stable spline identification of linear systems under missing data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Algorithm for adaptive observation based on method of instrumental variables;E3S Web of Conferences;2023

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