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Socio-Economic Objective : Integrated systems
Field of Research : Applied Mathematics
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP0881419

    Funder
    Australian Research Council
    Funding Amount
    $135,000.00
    Summary
    Fault tolerant multisensor feedback control. This project will advance knowledge by deepening the theoretical understanding of the interplay between multisensory data and feedback control mechanisms. It will also expand the tool sets of control engineering with innovative multisensory control designs. We see major benefits for Australia arising from this project both by enhancing its scientific reputation and by promoting technological advances in its industries and services. The project has pot .... Fault tolerant multisensor feedback control. This project will advance knowledge by deepening the theoretical understanding of the interplay between multisensory data and feedback control mechanisms. It will also expand the tool sets of control engineering with innovative multisensory control designs. We see major benefits for Australia arising from this project both by enhancing its scientific reputation and by promoting technological advances in its industries and services. The project has potential to contribute to the National Research Priority area: Frontier Technologies for Building and Transforming Australian Industries, since it has direct impact on the relevant areas of biotechnology, information, communication technology, nanotechnology and sensor technology.
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    Funded Activity

    Discovery Projects - Grant ID: DP1095645

    Funder
    Australian Research Council
    Funding Amount
    $170,000.00
    Summary
    New Model Predictive Control Design Methods. Automatic computer control is fundamental to sustaining a wide range of manufacturing, mineral processing, chemical processing, and other industries vital to the Australian economy. Furthermore, the efficiency, profitability, and environmental impact of these operations is directly linked to the quality of this computer control. In many situations, even a few percent improvement in automatic control delivers dividends measured in many millions of doll .... New Model Predictive Control Design Methods. Automatic computer control is fundamental to sustaining a wide range of manufacturing, mineral processing, chemical processing, and other industries vital to the Australian economy. Furthermore, the efficiency, profitability, and environmental impact of these operations is directly linked to the quality of this computer control. In many situations, even a few percent improvement in automatic control delivers dividends measured in many millions of dollars. This project will develop design tools allowing for more sophisticated, high performance control to be more widely employed. This will deliver the potential for economic and environmental benefits and energy savings to be achieved across a range of industries.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883930

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Evaluating the long-term costs and benefits of community-based initiatives. The ultimate benefit from the research is a more efficient allocation of public funds to provide public services, i.e. an increase in the gain derived from the government budget. The relative advantages of alternative methods of delivering government services are subject to significant uncertainty, which means that policy decisions are often poorly informed. Improvements in the accuracy of predicting the costs and benefi .... Evaluating the long-term costs and benefits of community-based initiatives. The ultimate benefit from the research is a more efficient allocation of public funds to provide public services, i.e. an increase in the gain derived from the government budget. The relative advantages of alternative methods of delivering government services are subject to significant uncertainty, which means that policy decisions are often poorly informed. Improvements in the accuracy of predicting the costs and benefits of complex community-based initiatives will help policymakers identify the set of initiatives that provide the best outcomes for the community they serve, as well as informing the optimal specification of the individual initiatives.
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