ARC Future Fellowships - Grant ID: FT220100656

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT220100656

Funding Status
Active

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Funded Activity Summary

Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.

Funded Activity Details

Start Date: 30-06-2023

End Date: 29-06-2027

Funding Scheme: ARC Future Fellowships

Funding Amount: $976,069.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Reinforcement learning | Control engineering mechatronics and robotics | Control engineering | Calculus of variations mathematical aspects of systems theory and control theory

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Calculus of variations mathematical aspects of systems theory and control theory | Control engineering | Control engineering mechatronics and robotics | Expanding Knowledge In Engineering | Reinforcement learning

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