Distributed Filtering for Semi-Markov-Type Sensor Networks With Hybrid Sojourn-Time Distributions—A Nonmonotonic Approach-Reference-Cited by-同舟云学术

Distributed Filtering for Semi-Markov-Type Sensor Networks With Hybrid Sojourn-Time Distributions—A Nonmonotonic Approach

Published:2023-05 Issue:5 Volume:53 Page:3075-3088
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wen Jiwei¹^ORCID,Shi Peng²^ORCID,Li Ruichao³,Luan Xiaoli¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi, China

2. School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia

3. School of Power and Energy, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

111 Project

Scientific Research Cooperation and High-Level Personnel Training Programs with Australia and New Zealand

Key-Area Research and Development Program of Guangdong Province

Science and Technology Research Project of Chongqing Municipal Education Commission

Chongqing Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10106628/09737416.pdf?arnumber=9737416

Reference50 articles.

1. An Event-Triggered Approach to State Estimation for a Class of Complex Networks With Mixed Time Delays and Nonlinearities

2. Adaptive Event-Triggered and Double-Quantized Consensus of Leader–Follower Multiagent Systems With Semi-Markovian Jump Parameters

3. Delay-Distribution-Dependent $H_\infty$ State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements

4. Dynamic Event-Triggered State Estimation for Discrete-Time Singularly Perturbed Systems With Distributed Time-Delays

5. Sensor Networks With Random Link Failures: Distributed Filtering for T–S Fuzzy Systems

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