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Research Topic : Systems Theory
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  • Researchers (39)
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  • Funded Activity

    Discovery Projects - Grant ID: DP1093087

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Optimal Control Computation and Analysis of Switched Systems with State and Control Constraints. DC/DC converters are widely used in power supply systems and hybrid power systems generate cleaner energy. Achieving optimum performance in these applications has high commercial and environmental impacts. New optimal control problems for such practical problems will be formulated and new unified optimization theory and methods for these optimal control problems will be obtained. The outcomes will en .... Optimal Control Computation and Analysis of Switched Systems with State and Control Constraints. DC/DC converters are widely used in power supply systems and hybrid power systems generate cleaner energy. Achieving optimum performance in these applications has high commercial and environmental impacts. New optimal control problems for such practical problems will be formulated and new unified optimization theory and methods for these optimal control problems will be obtained. The outcomes will enhance Australia's reputation in this cutting edge research, and contribute to achieving optimal performance of high commercial and environmental value applications. It will also facilitate international collaboration, and provide an excellent opportunity for research training.
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    Funded Activity

    Linkage - International - Grant ID: LX0881972

    Funder
    Australian Research Council
    Funding Amount
    $46,000.00
    Summary
    Linear programming approach to nonlinear deterministic and stochastic control problems: perturbations methods and numerical analysis. The proposed research will significantly advance knowledge by creating new analytical and numerical methods for tackling complex nonlinear control problems arising in many applications. The study's outputs will lead to a deeper understanding of fundamental issues in mathematical modelling. Collaboration with renowned researchers will further improve Australia's st .... Linear programming approach to nonlinear deterministic and stochastic control problems: perturbations methods and numerical analysis. The proposed research will significantly advance knowledge by creating new analytical and numerical methods for tackling complex nonlinear control problems arising in many applications. The study's outputs will lead to a deeper understanding of fundamental issues in mathematical modelling. Collaboration with renowned researchers will further improve Australia's standing in the international research community. Also their visits may further promote research both within and outside the host institution. In particular, lectures and seminars that they will deliver will be transmitted to Australian universities participating in the Access Grid Room Project.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562008

    Funder
    Australian Research Council
    Funding Amount
    $446,599.00
    Summary
    Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of .... Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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    Funded Activity

    Discovery Projects - Grant ID: DP1092801

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of .... The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of complexity arising in climate change involve issues on which we do not possess a deep understanding. This project draws upon a set of inter-disciplinary concepts and models centred in neural networks that enable us to advance our understanding of complexity, leading to superior quantitative tools and models to allow for improved environmental decision-making.
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    Funded Activity

    Linkage Projects - Grant ID: LP0989811

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th .... Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883801

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou .... The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774343

    Funder
    Australian Research Council
    Funding Amount
    $160,000.00
    Summary
    The Mathematical and Philosophical Foundations of Probability. We find probability wherever we find uncertainty: virtually everywhere in our lives. Probability is essential to almost every technology. High-stakes decisions are routinely made on the basis of probability judgments and risk assessment-for example, in engineering, medicine, agriculture, environmental management, urban planning, public policy, public health, the law, and in our national defence. And some of those decisions have been .... The Mathematical and Philosophical Foundations of Probability. We find probability wherever we find uncertainty: virtually everywhere in our lives. Probability is essential to almost every technology. High-stakes decisions are routinely made on the basis of probability judgments and risk assessment-for example, in engineering, medicine, agriculture, environmental management, urban planning, public policy, public health, the law, and in our national defence. And some of those decisions have been made badly because of poor probability estimates-witness the 1986 space shuttle disaster. Our current methodologies for using probability are inadequate. This project will make an important contribution to the collective enterprise of enhancing our understanding of probability and its myriad applications.
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    Funded Activity

    Discovery Projects - Grant ID: DP0879681

    Funder
    Australian Research Council
    Funding Amount
    $100,000.00
    Summary
    Ethics and Formal Theories of Decision. The benefits of this project will include improved methods for making ethically-informed decisions in various practical situations. Among the more important applications are legal decisions and conservation management. The theory developed in this project will also help shed light on both the statistical and ethical issues raised in much-debated areas such as racial profiling. The project will also serve to enhance Australia's reputation in technical philo .... Ethics and Formal Theories of Decision. The benefits of this project will include improved methods for making ethically-informed decisions in various practical situations. Among the more important applications are legal decisions and conservation management. The theory developed in this project will also help shed light on both the statistical and ethical issues raised in much-debated areas such as racial profiling. The project will also serve to enhance Australia's reputation in technical philosophy and decision theory.
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    Funded Activity

    Discovery Projects - Grant ID: DP0449454

    Funder
    Australian Research Council
    Funding Amount
    $519,730.00
    Summary
    Nonsmooth Optimization in Constrained Spline Interpolation. Traditional methods based on standard calculus may not work for optimization problems with constraints; however, such problems can be reformulated as nonsmooth problems that need special treatment. The project aims to approach several important problems in constrained spline interpolation and approximation, from the perspective of nonsmooth optimization. The research, which builds upon a recent breakthrough in the approach to the convex .... Nonsmooth Optimization in Constrained Spline Interpolation. Traditional methods based on standard calculus may not work for optimization problems with constraints; however, such problems can be reformulated as nonsmooth problems that need special treatment. The project aims to approach several important problems in constrained spline interpolation and approximation, from the perspective of nonsmooth optimization. The research, which builds upon a recent breakthrough in the approach to the convex best interpolation by the applicant and his collaborators, is expected to provide fundamental theory for Newton-type methods being used for these problems with a vast number of applications in data fitting and curve and surface design.
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    Funded Activity

    Discovery Projects - Grant ID: DP0558539

    Funder
    Australian Research Council
    Funding Amount
    $253,000.00
    Summary
    Market Model of Implied Volatility. The outcomes of the project will constitute a new methodology with a wide range of tools to handle the market uncertainties with practical applications in the finance industry. Consequently, the benefits of this project to the nation include enhancing its scientific standing in the international community, the training of Australian researchers in forefront methods of modelling of complex stochastic systems and the benefits resulting from its commercially rele .... Market Model of Implied Volatility. The outcomes of the project will constitute a new methodology with a wide range of tools to handle the market uncertainties with practical applications in the finance industry. Consequently, the benefits of this project to the nation include enhancing its scientific standing in the international community, the training of Australian researchers in forefront methods of modelling of complex stochastic systems and the benefits resulting from its commercially relevant elements.
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