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Field of Research : Systems Theory And Control
Status : Closed
Research Topic : force
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  • Funded Activity

    Linkage Projects - Grant ID: LP0777039

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    The Acoustic, Control and Aerodynamic Aspects of the Entecho Hoverpod. The development of small aerial vehicles, both manned and unmanned is a growing market in the aviation industry. This market sector has the potential to provide cheap, environmentally friendly transport solutions for the defence purposes, law enforcement agencies and emergency and recreational vehicles. This project serves to enhance Australia's position in this market by helping a local company develop its technology in a .... The Acoustic, Control and Aerodynamic Aspects of the Entecho Hoverpod. The development of small aerial vehicles, both manned and unmanned is a growing market in the aviation industry. This market sector has the potential to provide cheap, environmentally friendly transport solutions for the defence purposes, law enforcement agencies and emergency and recreational vehicles. This project serves to enhance Australia's position in this market by helping a local company develop its technology in a cost effective and timely manner. The progress made in the three research aspects will also advance areas of science and technology with practical applications other than aerial vehicles.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344182

    Funder
    Australian Research Council
    Funding Amount
    $180,075.00
    Summary
    Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, display .... Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, displaying strong interactions within certain clusters of states and weak interactions among these clusters. By utilizing this property, the proposed project will design and analyze novel reduced-complexity signal processing and control algorithms with rigorous performance guarantees. In addition, this project will explore possibilities of making these algorithms hierarchical such that they are easy to implement through decentralization.
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    Funded Activity

    Discovery Projects - Grant ID: DP0208841

    Funder
    Australian Research Council
    Funding Amount
    $506,168.00
    Summary
    Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as .... Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as Hidden Markov Models and Jump Markov Linear Systems. It focuses on the design and analysis of stochastic control algorithms such as dynamic programming and simulation based randomized methods. The research will lead to an integrated theory incorporating stochastic control, statistical signal processing and combinatorial optimization. We will also apply the resulting techniques to tracking maneuvering targets given noisy observations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0666255

    Funder
    Australian Research Council
    Funding Amount
    $396,000.00
    Summary
    Advanced Control of Dual-Stage Hard Disk Drives. The project is of significant scientific merit, resulting in solutions to open problems in control of dual-stage hard disk drive systems. This will contribute to the maintenance of Australia's international research profile, help maintain its internal research vitality and also enhance the advanced engineering base of the country. An important benefit of this research is the direct application of developed ideas to the next generation data storage .... Advanced Control of Dual-Stage Hard Disk Drives. The project is of significant scientific merit, resulting in solutions to open problems in control of dual-stage hard disk drive systems. This will contribute to the maintenance of Australia's international research profile, help maintain its internal research vitality and also enhance the advanced engineering base of the country. An important benefit of this research is the direct application of developed ideas to the next generation data storage systems. The completion of this project will directly benefit Australia's developing high-tech industries.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774287

    Funder
    Australian Research Council
    Funding Amount
    $870,000.00
    Summary
    Robust Control of Electrostatic Microactuators. This proposal seeks to address a number of fundamental problems associated with electrostatic microactuators that form an integral part of microelectromechanical systems (MEMS). Performance of these microactuators is limited due to the presence of a specific form of nonlinearity in their dynamics. In this research advanced and innovative feedback controllers will be developed to improve operational performance of such microactuators. The global ME .... Robust Control of Electrostatic Microactuators. This proposal seeks to address a number of fundamental problems associated with electrostatic microactuators that form an integral part of microelectromechanical systems (MEMS). Performance of these microactuators is limited due to the presence of a specific form of nonlinearity in their dynamics. In this research advanced and innovative feedback controllers will be developed to improve operational performance of such microactuators. The global MEMS market is projected to increase from $10B in 2005 to $40B in 2015. This project will enhance Australia's standing in this important high-tech field.
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0354553

    Funder
    Australian Research Council
    Funding Amount
    $30,000.00
    Summary
    Network on Control, Dynamics and Systems (NCDS). Control systems theory provides principles and methods for design of complex engineering systems that automatically maintain desired performance despite changes in their environment (e.g. autopilot in an aircraft). This field is facing many new exciting challenges at the dawn of new millenium, such as design of complex engineering systems in possibly networked, asynchronous and distributed environments. The network will play a major role in addres .... Network on Control, Dynamics and Systems (NCDS). Control systems theory provides principles and methods for design of complex engineering systems that automatically maintain desired performance despite changes in their environment (e.g. autopilot in an aircraft). This field is facing many new exciting challenges at the dawn of new millenium, such as design of complex engineering systems in possibly networked, asynchronous and distributed environments. The network will play a major role in addressing these challenges by providing a national research focus, facilitating collaboration and the sharing of people and ideas. By delivering a National Graduate School, the network will enhance learning conditions for graduate students. Moreover, it will provide an important catalyst between Australian universities and industry. This initiative will be essential in assessing the present state of control research in Australia and drafting a detailed plan for the network's leading research role in the future.
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