Optimal discrete-valued control strategies: A new direction in nonlinear optimal control. The field of optimal control is concerned with finding ways to manipulate systems in the best possible manner. The latest research in optimal control focuses primarily on systems in which the input variables are continuous-valued, yet many real-world systems are controlled via discrete input variables that assume values from a finite set - such as "On/Off", "Open/Closed", "Gear 1/2/3". This project will rev ....Optimal discrete-valued control strategies: A new direction in nonlinear optimal control. The field of optimal control is concerned with finding ways to manipulate systems in the best possible manner. The latest research in optimal control focuses primarily on systems in which the input variables are continuous-valued, yet many real-world systems are controlled via discrete input variables that assume values from a finite set - such as "On/Off", "Open/Closed", "Gear 1/2/3". This project will revolutionise the field of optimal control through the development of new theory and computational tools for optimising discrete input variables in constrained nonlinear systems. The new results will be applied to solve critical problems in the areas of shale-gas extraction, chromatography, pipeline transportation, and micro-robots.Read moreRead less
Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful ....Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful visualisations, and evaluate using real world social network and biological network data sets. The new models, metrics and algorithms produced by this project will be used in the next generation Visual Analytic tools to enable analysts develop accurate insights and new knowledge of complex data.Read moreRead less
Engineering one dimensional quantum phases with nanostructured Josephson junction arrays. This project aims to engineer novel quantum electronic devices based on strongly-coupled, one-dimensional superconducting microcircuits. These will be realised using chains of nanoscale superconducting islands fabricated on a chip. The project expects to achieve a special type of insulating state, where individual charges can be transported one by one. This would be significant as a primary standard that pr ....Engineering one dimensional quantum phases with nanostructured Josephson junction arrays. This project aims to engineer novel quantum electronic devices based on strongly-coupled, one-dimensional superconducting microcircuits. These will be realised using chains of nanoscale superconducting islands fabricated on a chip. The project expects to achieve a special type of insulating state, where individual charges can be transported one by one. This would be significant as a primary standard that precisely links time (or frequency) to charge. The project also aims to create a current mirror device, in which a supercurrent sent down one chain induces a reflected supercurrent in the other, forming the basis of a new superconducting quantum bit. Other devices will be used to study a simplified model related to high temperature superconductors.Read moreRead less
Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distribute ....Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.Read moreRead less
Understanding and eliminating dissipation in superconducting devices: the origin of two-level defects. Superconducting quantum circuits constitute the next generation of nano-electronics. They find application in medicine, biology and geophysics; from mapping mineral deposits to imaging heart function, and are a promising candidate for quantum information processing and high speed electronics. A major loss mechanism within a Josephson junction (which forms the basis of a quantum circuit) is caus ....Understanding and eliminating dissipation in superconducting devices: the origin of two-level defects. Superconducting quantum circuits constitute the next generation of nano-electronics. They find application in medicine, biology and geophysics; from mapping mineral deposits to imaging heart function, and are a promising candidate for quantum information processing and high speed electronics. A major loss mechanism within a Josephson junction (which forms the basis of a quantum circuit) is caused by intrinsic two-level defects. What is not known is the true microscopic nature of these defects, although there are many theories. This project aims to unravel this mystery using detailed theoretical and computation analysis based on precision experimental characterisation.Read moreRead less
ARC Centre of Excellence for Engineered Quantum Systems. The future of technology lies in controlling the quantum world. The ARC Centre of Excellence for Engineered Quantum Systems (EQuS) will deliver the building blocks of future quantum technologies and, critically, ensure Australian primacy in this endeavour. Three strategic research programs will target Quantum Measurement and Control; Synthetic Quantum Systems and Simulation; and Quantum-Enabled Sensors and Metrology. Within these programs, ....ARC Centre of Excellence for Engineered Quantum Systems. The future of technology lies in controlling the quantum world. The ARC Centre of Excellence for Engineered Quantum Systems (EQuS) will deliver the building blocks of future quantum technologies and, critically, ensure Australian primacy in this endeavour. Three strategic research programs will target Quantum Measurement and Control; Synthetic Quantum Systems and Simulation; and Quantum-Enabled Sensors and Metrology. Within these programs, our Centre will exploit the deepest principles and resources of quantum physics to solve specific problems in engineering, chemistry biology and medicine, stimulating the Australian scientific and engineering communities to exploit (and benefit from) transformative quantum devices.Read moreRead less
Certified evaluation of uncertainty in models of dynamical systems. The purpose of this project is to develop methods which will aid engineers to better analyse the accuracy of models created using experimental data. To support the use of the methods, a toolbox with software implementations will also be developed.
A New Approach to Sampled-Data Control Design for Nonlinear Systems. This project aims to exploit new sampling and sampled-data modelling insights to bridge the continuous/sampled-data gap in the control of nonlinear systems. The goal is to investigate the impact of these insights on the control design problem and provide a new class of digital control laws for continuous time non-linear systems.
Robust control of power electronics and drives: a synthesis of traditional and model predictive control approaches. This project aims to generate high-performance strategies for the control of power converters. Through the combination of traditional and modern approaches, the project will develop methods which are more reliable and give better energy efficiency than current state of the art techniques.
Robust control of mobile networked systems. The conceptual advances with new design rules are to be developed in the area of robust control of mobile networked systems. A major benefit of the research to be carried out in this project will be its direct application to industrial control problems in the defence, communications and robotics industries and to the management of the environment.