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Field of Research : Analysis Of Algorithms And Complexity
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  • Funded Activity

    Discovery Projects - Grant ID: DP0209268

    Funder
    Australian Research Council
    Funding Amount
    $487,202.00
    Summary
    Constrained Receding Horizon Control of Nonlinear Systems. Most real world control problems involve the design of strategies that achieve performance goals in the presence of constraints on the system variables. Receding horizon control is a strategy that addresses this problem by directly optimising performance under the appropriate constraints. This project will address theoretical and computational issues associated with this methodology. The expected outcomes include: * New finitely p .... Constrained Receding Horizon Control of Nonlinear Systems. Most real world control problems involve the design of strategies that achieve performance goals in the presence of constraints on the system variables. Receding horizon control is a strategy that addresses this problem by directly optimising performance under the appropriate constraints. This project will address theoretical and computational issues associated with this methodology. The expected outcomes include: * New finitely parameterised solutions for nonlinear systems. * Implementations of reduced computational complexity. * New insights into analytical properties of the methodology. These outcomes are expected to add to Australian scientific recognition and to bring significant economic benefit to Australian industry.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0241203

    Funder
    Australian Research Council
    Funding Amount
    $1,417,500.00
    Summary
    lll-conditioned and constrained inverse problems in Signal Processing, Telecommunications and Control. Aims: To carry out fundamental research on methods for understanding and solving inverse problems in signal processin, telecommunications and control. To translate these fundamental results into practical outcomes of importance to Australian Industry. Significance: Signal Processing, Telecommunications and Control are core technologies for all modern societies. The research proposed here .... lll-conditioned and constrained inverse problems in Signal Processing, Telecommunications and Control. Aims: To carry out fundamental research on methods for understanding and solving inverse problems in signal processin, telecommunications and control. To translate these fundamental results into practical outcomes of importance to Australian Industry. Significance: Signal Processing, Telecommunications and Control are core technologies for all modern societies. The research proposed here will generate new methods for designing and understanding key algorithms in these areas. Particular emphasis will be placed on difficult problems involving ill-conditioned inverses or those having hard constraints that must be satisfied. Expected Outcomes: A prime outcome will be fundamental research results at the highest international level. This will be accompanied by top level refereed publications and books. There will also be direct and tangible benefits to Australian industry.
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