Learning Based Optimal Sensor Selection for Linear Quadratic Control with Unknown Sensor Noise Covariance *
Author:
Affiliation:
1. Liaoning Petrochemical University,School of Information and Control Engineering,Fushun,China,113001
2. Louisiana State University,Division of Electrical and Computer Engineering,Baton Rouge,LA,USA,70803
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156247.pdf?arnumber=10156247
Reference25 articles.
1. On efficient sensor scheduling for linear dynamical systems
2. Sensor selection scheme considering uncertainty disturbance;shi;Journal of Sensors,2022
3. On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
4. On the Optimal Solutions of the Infinite-Horizon Linear Sensor Scheduling Problem
5. Optimality and stability of event triggered consensus state estimation for wireless sensor networks
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