Discovery Projects - Grant ID: DP230101107

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP230101107

Funding Status
Active

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Funded Activity Summary

Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.

Funded Activity Details

Start Date: 01-01-2023

End Date: 31-12-2025

Funding Scheme: Discovery Projects

Funding Amount: $470,740.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Deep learning | Fuzzy computation | Control engineering mechatronics and robotics | Control engineering |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Autonomous and Robotic Systems | Control engineering | Control engineering mechatronics and robotics | Deep learning | Fuzzy computation | Industrial Energy Efficiency

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