Optimized data rate allocation for dynamic sensor fusion over resource constrained communication networks

Author:

Jung Hyunho1ORCID,Pedram Ali Reza1ORCID,Cuvelier Travis C.2,Tanaka Takashi3

Affiliation:

1. Walker Department of Mechanical Engineering University of Texas at Austin Austin Texas USA

2. Department of Electrical and Computer Engineering University of Texas at Austin Austin Texas USA

3. Department of Aerospace Engineering and Engineering Mechanics University of Texas at Austin Austin Texas USA

Funder

Defense Advanced Research Projects Agency

Division of Electrical, Communications and Cyber Systems

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference42 articles.

1. CollinsJ.The challenges facing U.S. Navy aircraft electrical wiring systems. Proceedings of the 9th Annual Aging Aircraft Conference; 2006.

2. MarrB.That's data science: airbus puts 10 000 sensors in every single wing; 2015 [Online].https://www.datasciencecentral.com/reprofiles/blogs/that‐s‐data‐science‐airbus‐puts‐10‐000‐sensors‐in‐every‐single

3. On universal quantization by randomized uniform/lattice quantizers

4. TanakaT JohanssonKH OechteringT SandbergH SkoglundM.Rate of prefix‐free codes in LQG control systems. Proceedings of the IEEE International Symposium on Information Theory; 2016:2399‐2403. doi:10.1109/ISIT.2016.7541729

5. Variations and extension of the convex–concave procedure

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3. Special Issue on Sparsity‐inducing Methods in Control Theory;International Journal of Robust and Nonlinear Control;2022-11-10

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