ARC Future Fellowships - Grant ID: FT0991385

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT0991385

Funding Status
Closed

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Funded Activity Summary

Real time optimisation by extremum seeking control and learning control. Optimal control technology provides the systematic design of systems that exhibit optimal behaviour, such as maximal productivity, best efficiency, minimal cost and best quality. Real time optimisation finds the solution of the optimal control in real time, relaxing requirements on the system knowledge. The proposed research will build on Australia's well-established strength in control and optimisation, and aim to establish within Australia world-leading expertise in real time optimisation theories and applications. This will have direct benefits to the Australian economy through various engineering applications ranging from vehicle dynamics to emissions reduction to manufacturing process to efficiency improvement of power generation systems.

Funded Activity Details

Start Date: 04-01-2010

End Date: 31-12-2014

Funding Scheme: ARC Future Fellowships

Funding Amount: $686,400.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Mathematics | Engineering And Technology Not Elsewhere Classified | Systems Theory And Control |

ANZSRC Socio-Economic Objective (SEO)

Wind | Industry | Mathematical sciences

Other Keywords

Applied Mathematics | Engineering And Technology Not Elsewhere Classified | Industry | Mathematical sciences | Systems Theory And Control | Wind

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