Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing ....Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing nonlinear control strategies. The expected outcomes will include new system and control theories, concepts, principles and technologies in controller design that can provide reliable flight control for bio-inspired, flapping-wing systems.Read moreRead less
Fast Precision Robust Control of Resonant Flexible Systems. The project aims to produce new control system design tools to enable fast precision control of advanced engineering systems encorporating flexible structures. This should enable improved speed and accuracy in control systems for precision instruments such as atomic force microscopes along with improving control system performance in areas of precision engineering such as semiconductor manufacturing, robotics and microelectromechanical ....Fast Precision Robust Control of Resonant Flexible Systems. The project aims to produce new control system design tools to enable fast precision control of advanced engineering systems encorporating flexible structures. This should enable improved speed and accuracy in control systems for precision instruments such as atomic force microscopes along with improving control system performance in areas of precision engineering such as semiconductor manufacturing, robotics and microelectromechanical systems. The outcomes are expected to be new control system synthesis and modelling tools enabling fast and highly accurate control of industrial systems using nonlinear and switching elements and achieving high levels of robustness. This will benefit Australian precision manufacturing industries.Read moreRead less
Nonlinear Quantum Control Engineering. This project will develop tractable methods for the design of robust, nonlinear, coherent feedback control systems building on the approach of quantum risk sensitive control and extending classical nonlinear control methods. It will also develop methods to design robust and nonlinear filters and coherent observers for nonlinear and finite level quantum systems and apply these results to the design of robust measurement based quantum controllers. In addition ....Nonlinear Quantum Control Engineering. This project will develop tractable methods for the design of robust, nonlinear, coherent feedback control systems building on the approach of quantum risk sensitive control and extending classical nonlinear control methods. It will also develop methods to design robust and nonlinear filters and coherent observers for nonlinear and finite level quantum systems and apply these results to the design of robust measurement based quantum controllers. In addition, the project will apply coherent and measurement based robust control methods to achieve useful emergent behaviours in nonlinear quantum networks. Such emergent behaviours may involve the robust reduction of decoherence effects and the robust solution of quantum computational problems. Read moreRead less
Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected ....Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected outcomes include a better understanding of human adaptation and a systematic approach to shaping human-robot interaction over time. This should provide significant benefits across different skill and labour-intensive industries in Australia, such as improved worker productivity and safer human-robot collaboration.Read moreRead less
Engineered redox polymers for catalytic water purification. This project aims to develop a novel family of chemically and structurally controlled redox polymer as metal-free catalysts for wastewater micropollutant treatment. Innovations lie in the synthesis of high-performance and nanostructured carbon-based materials, multiscale modeling, and in situ characterizations for understanding structure-property relationship in carbon catalysis. Expected outcomes will deliver innovations in functional ....Engineered redox polymers for catalytic water purification. This project aims to develop a novel family of chemically and structurally controlled redox polymer as metal-free catalysts for wastewater micropollutant treatment. Innovations lie in the synthesis of high-performance and nanostructured carbon-based materials, multiscale modeling, and in situ characterizations for understanding structure-property relationship in carbon catalysis. Expected outcomes will deliver innovations in functional materials, mechanism, catalytic engineering, and sustainable separation processes. This project will provide significant benefits in renovating smart nanomaterials in advanced manufacturing and clean environmental technologies, promoting Australia’s economic development and environment protection.Read moreRead less
Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/ ....Big Data-based Distributed Control using a Behavioural Systems Framework. With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100021
Funder
Australian Research Council
Funding Amount
$440,154.00
Summary
Kesterite/Si Tandem Structure for Unassisted Overall Solar Fuel Production. This project aims to develop Kesterite/Si tandem device for photoelectrochemical carbon dioxide reduction to produce solar fuels. It is expected to reveal the photoelectrochemical mechanism of the p-n heterojunction, thereby promoting solar energy utilisation and greenhouse gas reduction. Expected outcomes include delivery of a high-performance kesterite photocathode for efficient CO2 reduction, a kesterite/Si tandem dev ....Kesterite/Si Tandem Structure for Unassisted Overall Solar Fuel Production. This project aims to develop Kesterite/Si tandem device for photoelectrochemical carbon dioxide reduction to produce solar fuels. It is expected to reveal the photoelectrochemical mechanism of the p-n heterojunction, thereby promoting solar energy utilisation and greenhouse gas reduction. Expected outcomes include delivery of a high-performance kesterite photocathode for efficient CO2 reduction, a kesterite/Si tandem device for overall unassisted solar fuel production, and an in-depth understanding of structure-performance correlation to guide future heterojunction photocathode design. This project should provide significant benefits in minimising fossil fuel consumption, increasing energy security, and expanding the clean energy industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100138
Funder
Australian Research Council
Funding Amount
$419,804.00
Summary
Developing Switchable Ligands to Control Gold Nanocluster Interfaces. This project aims to unlock the promising catalytic activity of protected gold nanoclusters by developing switchable ligands capable of undergoing controlled detachment and exchange. This project expects to provide a detailed understanding of how the gold thiolate interface of nanoclusters influences their physical and chemical properties. Expected outcomes include the design of improved catalysts for chemical synthesis and bi ....Developing Switchable Ligands to Control Gold Nanocluster Interfaces. This project aims to unlock the promising catalytic activity of protected gold nanoclusters by developing switchable ligands capable of undergoing controlled detachment and exchange. This project expects to provide a detailed understanding of how the gold thiolate interface of nanoclusters influences their physical and chemical properties. Expected outcomes include the design of improved catalysts for chemical synthesis and biological assays using computer aided chemical modelling. These catalysts should be easier to recover after use, which should improve cost-effectiveness. They should also improve the accuracy of biological sensors, which could ultimately be used for the rapid and early detection of diseases.Read moreRead less