Large Scale Complex Multiagent Systems : Control Methodologies and Information Architectures. Future military operations are likely to involve increasing use of unmanned vehicles, airborne, underwater or on land. In some cases there will be very large formations. This research will develop methodologies which allow formations of unmanned vehicles to be configured. Much of the same methodology is applicable to the construction and operation of large scale sensor networks, identified by some comm ....Large Scale Complex Multiagent Systems : Control Methodologies and Information Architectures. Future military operations are likely to involve increasing use of unmanned vehicles, airborne, underwater or on land. In some cases there will be very large formations. This research will develop methodologies which allow formations of unmanned vehicles to be configured. Much of the same methodology is applicable to the construction and operation of large scale sensor networks, identified by some commentators as one of the most important technologies of the 21st century. They comprise large numbers of low cost networked sensors and will increasingly find application in security, agricultural and environmental monitoring.Read moreRead less
Measurement Feedback Control of Nonlinear and Quantum Systems. The purpose of control systems is to regulate the behaviour of a diverse range of engineering systems including those found in aerospace, manufacturing and telecommunications, as well as in important emerging fields including quantum technology. The aim of this project is to develop measurement feedback design methodologies for systems modelled by nonlinear or quantum dynamics. The project is motivated by the need for systematic meth ....Measurement Feedback Control of Nonlinear and Quantum Systems. The purpose of control systems is to regulate the behaviour of a diverse range of engineering systems including those found in aerospace, manufacturing and telecommunications, as well as in important emerging fields including quantum technology. The aim of this project is to develop measurement feedback design methodologies for systems modelled by nonlinear or quantum dynamics. The project is motivated by the need for systematic methods for robust control system design. A central issue concerns suitable representation and use of measurement information for feedback control.Read moreRead less
Development of robust adaptive and nonlinear control methodologies. Techniques will be developed that will allow industrial plants to operate with lower direct or environmental cost, and airborne vehicles to operate more efficiently or more safely.
Safe Adaptive Control. Adaptive controllers are intelligent controllers, which can redesign themselves as they learn more about the environment. There are many algorithms for adaptive controllers; some of them can cause unacceptable behaviour during the learning process. Safe adaptive controllers are those for which this behaviour is ruled out. This project is concerned with developing procedures for guaranteeing the safety property in a wide variety of situations.
Theory and applications of three dimensional fractal transformations. The purpose of this project is to develop the theory and algorithms for a new class of continuous mappings between fractals. Outcomes include a better understanding of fractals, substantially better algorithms for fractal compression and many new applications.
Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can ....Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can help Australian energy industry to reduce greenhouse emissions. It will also result in education of the next generation research leaders in this emerging field.Read moreRead less
Dynamic Analysis and Control for Hybrid Systems and Networks. Hybrid systems are now accepted as the best way to model many high-tech situations in transport, energy management, networking, household and industrial automation. This project will develop the theoretical tools needed to ensure such systems operate stably and efficiently despite imperfections and outside disturbances.
Statistical and Mathematical Analyses of Sequence and Array Data. Development of mathematical and statistical methods and tools in bioinformation science will ensure that Australia is at the cutting-edge of modern biology. This will enhance Australia's reputation for dealing with the exponentially growing body of genomic data emerging from life sciences laboratories throughout the world. The proposed project has a broad range of potential applications in biotechnology, particularly in the medic ....Statistical and Mathematical Analyses of Sequence and Array Data. Development of mathematical and statistical methods and tools in bioinformation science will ensure that Australia is at the cutting-edge of modern biology. This will enhance Australia's reputation for dealing with the exponentially growing body of genomic data emerging from life sciences laboratories throughout the world. The proposed project has a broad range of potential applications in biotechnology, particularly in the medical and agricultural industries. Examples include improvements to livestock, in plant breeding such as drought resistance, and better genetic disease diagnosis, including earlier cancer diagnosis, and personalised treatment.Read moreRead less
Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in e ....Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in emerging technologies including nanopositioning, micro-electromechanical systems and opto-mechatronics. The project plans to combine these theoretical advances with numerical methods involving advanced optimisation tools and the experimental implementation of nanopositioning control systems in atomic force microscopy.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