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Socio-Economic Objective : Emerging Defence Technologies
Research Topic : control programme
Australian State/Territory : VIC
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Electrical and Electronic Engineering (4)
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  • Researchers (12)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP190100104

    Funder
    Australian Research Council
    Funding Amount
    $370,769.00
    Summary
    Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also .... Co-design and dynamic mission optimisation of hypersonic flight vehicles. This project aims to deliver fundamental knowledge by integrating the modelling and control with the design of next generation hypersonic platforms. In an era where Australia's national security reliance on geographic isolation and support from allied forces are being challenged, the research outcomes of this project will play an important role in understanding the capabilities of hypersonic systems. The project will also have significant spillover benefits into other complex system domains, where computational tools can be used to aid in design leading to high embedded-IP products for Australian industry. Furthermore, the proposal encompasses a strong research training aspect, with graduates exposed to leading edge industry and academia.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200101303

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Enabling the Internet of Things (IoT): structured networked control systems. Networked control systems are an emerging technology that combines control, communication and computation to deliver solutions for a range of manufacturing, safety-critical infrastructure, such as transport, defence and other Industrial Interent of Things (IIoT) applications. The current analysis and design approaches often take a ``monolithic" view of the system, which render them inadequate for addressing many importa .... Enabling the Internet of Things (IoT): structured networked control systems. Networked control systems are an emerging technology that combines control, communication and computation to deliver solutions for a range of manufacturing, safety-critical infrastructure, such as transport, defence and other Industrial Interent of Things (IIoT) applications. The current analysis and design approaches often take a ``monolithic" view of the system, which render them inadequate for addressing many important IIoT applications. This proposal will exploit specific features and structure of the plant, the communication network and the distributed computation to provide an analysis and design methodology which will deliver significant advances in control and optimised performance of IIoT with benefits to the economy and society.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220103281

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Sensing and Communications for Tactical Radio: Mapping the RF Weather. This project investigates sensing, localisation and communication strategies to improve the performance of modern tactical radio networks. Such networks face all of the well-known design challenges of mobile ad-hoc networks (MANETs) but with added complication of a contested and adversarial operating environment. By exploiting the power of radio nodes to sense the radio spectrum, as well as to communicate over it, a distribut .... Sensing and Communications for Tactical Radio: Mapping the RF Weather. This project investigates sensing, localisation and communication strategies to improve the performance of modern tactical radio networks. Such networks face all of the well-known design challenges of mobile ad-hoc networks (MANETs) but with added complication of a contested and adversarial operating environment. By exploiting the power of radio nodes to sense the radio spectrum, as well as to communicate over it, a distributed network of nodes can create a detailed picture of the surrounding radio-frequency (RF) environment: the nodes can work together to map the “RF weather”. In this project we will design advanced sensing and localisation methods to accurately map the RF spectrum, and then exploit this map in communication system design.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102600

    Funder
    Australian Research Council
    Funding Amount
    $493,000.00
    Summary
    When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between .... When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between an optimization-based control algorithm and an optimization routine used to calculate the control law. This project aims to develop a general design framework for stability, suboptimality and robustness of such algorithms, that can be used in range of novel applications, such as driverless cars and drones.
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    Funded Activity

    Discovery Projects - Grant ID: DP130104404

    Funder
    Australian Research Council
    Funding Amount
    $295,000.00
    Summary
    A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.
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    Showing 1-5 of 5 Funded Activites

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