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Optimal communication scheduling and remote estimation over an additive noise channel

Published:2018-02 Issue: Volume:88 Page:57-69
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Gao Xiaobin,Akyol Emrah,Başar Tamer

Funder

Army Research Office

Office of Naval Research

National Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference37 articles.

1. A survey on sensor networks;Akyildiz;IEEE Communications Magazine,2002

2. Optimal zero-delay jamming over an additive noise channel;Akyol;IEEE Transactions on Information Theory,2015

3. Åström, K. J., & Bernhardsson, B. M. (2002). Comparison of Riemann and Lebesgue sampling for first order stochastic systems. In Proceedings of the 41st IEEE conference on decision and control, (pp. 2011–2016).

4. On the determination of optimal costly measurement strategies for linear stochastic systems;Athans;Automatica,1972

5. Log-concave probability and its applications;Bagnoli;Economic Theory,2005

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1. Kalman-Like Filter for Event-Triggered Remote State Estimation Over an Additive Noise Channel;IEEE Control Systems Letters;2024

2. Optimal transmission scheduling for remote state estimation in CPSs with energy harvesting two-hop relay networks;Automatica;2023-06

3. Stochastic event-triggered remote state estimation over Gaussian channels without knowing triggering decisions: A Bayesian inference approach;Automatica;2023-06

4. Vehicular visible light communications noise analysis and modeling;Applied Optics;2023-05-19

5. Remote Estimation for Dynamic IoT Sources Under Sublinear Communication Costs;IEEE/ACM Transactions on Networking;2023

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