Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint-Reference-Cited by-同舟云学术

Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint

Published:2023-03 Issue:3 Volume:19 Page:2565-2573
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Yang Lixin¹^ORCID,Xu Yong¹^ORCID,Huang Zenghong¹^ORCID,Rao Hongxia¹^ORCID,Quevedo Daniel E.²^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, School of Automation, Guangdong University of Technology, Guangzhou, China

2. School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia

Funder

Special Project for Research and Development in Key areas of Guangdong Province

National Natural Science Foundation of China

Local Innovative and Research Teams Project of Guangdong Special Support Program

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10064202/09784925.pdf?arnumber=9784925

Reference30 articles.

1. Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels

2. Stochastic Sensor Scheduling for Networked Control Systems

3. Stochastic sensor activation for distributed state estimation over a sensor network

4. On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

5. Dynamic Quantizer Design for Hidden Markov State Estimation Via Multiple Sensors With Fusion Center Feedback

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