State and fault estimation for nonlinear systems subject to censored measurements: A dynamic event‐triggered case-Reference-Cited by-同舟云学术

State and fault estimation for nonlinear systems subject to censored measurements: A dynamic event‐triggered case

Published:2022-02-11 Issue:8 Volume:32 Page:4946-4965
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Huang Cong¹²^ORCID,Coskun Serdar³^ORCID,Zhang Xin⁴,Mei Peng⁵

Affiliation:

1. School of Transportation and Civil Engineering Nantong University Nantong China

2. School of Information Science and Technology Donghua University Shanghai China

3. Department of Mechanical Engineering Tarsus University Tarsus Mersin Turkey

4. School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou China

5. School of Transportation Science and Engineering Beihang University Beijing China

Funder

Natural Science Foundation of Jiangsu Province

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.6062

Reference39 articles.

1. A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties

2. Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor

3. Distributed filtering in sensor networks with randomly occurring saturations and successive packet dropouts

4. Tobit Kalman Filter With Time-Correlated Multiplicative Sensor Noises Under Redundant Channel Transmission

5. A New Approach to Linear Filtering and Prediction Problems

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