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: 01-2010
End Date: 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 |
