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A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding

2021 60th IEEE Conference on Decision and Control (CDC)(2021)10.1109/cdc45484.2021.9683219Source: DataRank Database

A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding is a research paper published in 2021 60th IEEE Conference on Decision and Control (CDC) (2021). On theSindex it has a DataRank of 0. It has been cited 9 times.

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A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding · arXiv

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Authors (1)

Floris van Breugel ORCID

Live enrichment

PubMed:37786448

National Institutes of Health

Grant: 5P20GM103650-07

Center for Integrative Neuroscience

NIGMS NIH HHS

Grant: P20 GM103650

greenLicense: STM Policy #29

repositoryhttps://arxiv.org/pdf/2106.03974

publisherhttp://xplorestaging.ieee.org/ielx7/9682670/9682776/09683219.pdf?arnumber=9683219

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10545229/pdf/nihms-1932431.pdf

https://doi.org/10.1109/cdc45484.2021.9683219

http://arxiv.org/pdf/2106.03974

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

FOS: Electrical engineering, electronic engineering, information engineeringSystems and Control (eess.SY)Electrical Engineering and Systems Science - Systems and Controlanemotaxisobservabilitysensor calibration

A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding

10.48550/arxiv.2106.03974arXiv