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.Read moreRead less
How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the m ....How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.Read moreRead less
Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of ....Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of applications where both cooperative and adversarial agent interactions coexist. By developing theories and algorithms for control and identification over such systems, this project will contribute directly to their safe and robust operation. The resulting theories will provide deeper understanding of network control systems and the resulting algorithms will enable the elimination of attackers and malicious users for online review systems and smart grids. This project will contribute to increased cybersecurity for all Australians.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
Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms dev ....Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms developed are expected to allow straightforward deployment of robotic teams. There are myriad applications for cooperative robotic agents, ranging from surveillance, to environmental monitoring using underwater and aerial drone formations – with an array of benefits and impacts including economic, commercial and societal. The results are intended to ensure and cement Australia’s front-line position in the current technological revolution known as “Industry 4.0”.Read moreRead less
Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interact ....Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interactions with the environment. The research aims to yield systematic control engineering methods to combat the effects of quantum decoherence which is critical in order to make quantum technologies such as quantum computing truly practical. Applications include computing, secure communications, sensing and simulationsRead moreRead less
Optimisation methods for coherent quantum signal estimation and filtering. The project aims to develop an innovative systems theory and optimisation methods to enhance the design of components for next-generation quantum communication networks. It will advance new theoretical knowledge and efficient algorithms that can be applied to make networks more efficient and less costly. New technologies set to emerge within the next decade including specialised quantum processors and transformative cyber ....Optimisation methods for coherent quantum signal estimation and filtering. The project aims to develop an innovative systems theory and optimisation methods to enhance the design of components for next-generation quantum communication networks. It will advance new theoretical knowledge and efficient algorithms that can be applied to make networks more efficient and less costly. New technologies set to emerge within the next decade including specialised quantum processors and transformative cyber security systems will require ultra-fast networks, and the project will contribute significantly to advancing these technologies. This will benefit the Australia's economy and reinforce Australia's leadership in the quantum technological revolution through innovative engineering approaches.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100508
Funder
Australian Research Council
Funding Amount
$462,948.00
Summary
How predictions affect visual processing across the cortical hierarchy . Unlike traditional theories of visual perception, recent evidence suggests what a person expects can fundamentally change how they see the world. However, the neuronal mechanisms which would allow expectation to affect perception are poorly understood. This project will use revolutionary recording techniques to determine how multiple brain regions interact to use predictions about the future to change visual processing. The ....How predictions affect visual processing across the cortical hierarchy . Unlike traditional theories of visual perception, recent evidence suggests what a person expects can fundamentally change how they see the world. However, the neuronal mechanisms which would allow expectation to affect perception are poorly understood. This project will use revolutionary recording techniques to determine how multiple brain regions interact to use predictions about the future to change visual processing. The expected outcome is understanding a fundamental theory of brain function for the first time at the level of single neurons. This project will contribute to a new understanding of central theories of how the brain allows us to see which will significantly enhance basic vision science.Read moreRead less
Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to b ....Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to be developed and deployed in Australia by the industry partner SwitchDin. Expected benefits including enabling significant reduction in carbon emissions from the transportation sector, accelerating the energy transition to renewables, and placing Australian industry at the forefront of EV grid integration technology.Read moreRead less