Collaborative-prediction-based recursive filtering for nonlinear systems with sensor saturation under duty cycle scheduling-Reference-Cited by-同舟云学术

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Collaborative-prediction-based recursive filtering for nonlinear systems with sensor saturation under duty cycle scheduling

Published:2023-08-23 Issue:1 Volume:11 Page:
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Gao Hongyu¹²³,Li Yue¹²³,Yu Lindong¹²³,Yu Haoran¹²³

Affiliation:

1. Artificial lnteligence Energy Research lnstitute, Northeast Petroleum University, Daqing, People's Republic of China

2. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, People's Republic of China

3. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, People's Republic of China

Funder

Young Top Talents Fund in the School of Electrical Information Engineering of Northeast Petroleum University

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2023.2247007

Reference53 articles.

1. Design of robust H∞ state estimator for delayed polytopic uncertain genetic regulatory networks: Dealing with finite-time boundedness

2. An efficient recommendation generation using relevant Jaccard similarity

3. Pearson correlation coefficient;Benesty J.;Noise Reduction in Speech Processing,2009

4. Collaborative filtering based on significances

5. Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol

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