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.
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
New quantum and robust control theory with applications to quantum optics. The application of quantum mechanics to the creation of quantum technology promises to be one of the most exciting technological developments of this century. Possible applications of quantum technologies include vastly improved sensors to search for minerals or gravity waves, secure quantum cryptography, and quantum computing. Quantum feedback control is a key tool in quantum technology. This project will lay the fou ....New quantum and robust control theory with applications to quantum optics. The application of quantum mechanics to the creation of quantum technology promises to be one of the most exciting technological developments of this century. Possible applications of quantum technologies include vastly improved sensors to search for minerals or gravity waves, secure quantum cryptography, and quantum computing. Quantum feedback control is a key tool in quantum technology. This project will lay the foundations of systematic theories of robust, coherent and nonlinear quantum feedback control and lead to advances in the control of highly resonant systems which underlie experimental quantum and nano technology. This will enable Australia to reap great benefits as this new technological area emerges.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
Information consensus and coordination of multiagent systems. Revolutions in information and communication technologies create a complex 'network of everything'. This project will develop advanced control techniques for such networks, to make the nation's power systems safer, to fly formations of unmanned airborne vehicles, and to extract key information from networks of environmental monitoring sensors.
Linear Dynamical Quantum Networks: Synthesis and Control. Australia is recognized as a leader in the international race to develop quantum technologies of the future. This project will strengthen Australia's profile in quantum technology engineering by developing a new theory for building arbitrary complex linear quantum mechanical control systems for control tasks in quantum technology, and presenting new control system design tools to support high performance quantum communication systems. The ....Linear Dynamical Quantum Networks: Synthesis and Control. Australia is recognized as a leader in the international race to develop quantum technologies of the future. This project will strengthen Australia's profile in quantum technology engineering by developing a new theory for building arbitrary complex linear quantum mechanical control systems for control tasks in quantum technology, and presenting new control system design tools to support high performance quantum communication systems. The project outcomes together with advances in experimental physics are anticipated to play an important role in the long term as enablers of viable quantum technologies that can provide new commercial opportunities for Australian hi-tech industries to benefit Australia's economy in the future.Read moreRead less
Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measu ....Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measurements from an infinite dimensional dynamical system. The project plans to develop infinite dimensional invariant observer theory to formulate implementable algorithms that run in real-time on embedded hardware, providing detailed information that enables robots to undertake tasks that are presently impossible with state-of-the-art sparse sensing paradigms.Read moreRead less
Geometric observer theory for mechanical control systems. The safety and performance of mechatronic systems such as autonomous drone aircraft and submersibles crucially depends on the algorithms controlling the system. By developing novel observer algorithms that are more stable and more robust this project will contribute to the competitiveness of Australian high-tech companies with mechatronic products.
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