Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engi ....Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engineering and signal processing methods taking into account the fundamental properties of quantum systems and noise. This will enable quantum sensors to be applied to a wide range of applications including transport, medical imaging, civil engineering, and the detection of hazards.Read moreRead less
Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical op ....Automatic control systems for low-energy pipelines in irrigation networks. Automatic control systems for low-energy pipelines in irrigation networks. This project aims to design automated pipelines to distribute irrigation water from backbone open-channels to end-users. Automation can make irrigation networks more efficient, which is important for food security and the environment. Automation is expected to achieve low-energy distribution, in line with the gravity-powered operation of typical open-channel networks. The main challenges are the development of suitable models for designing outlet-flow control systems, optimization-based outlet-flow scheduling methods for ensuring operation within hydraulic constraints, and system monitoring techniques. This project will design automatic control systems to enable low-energy water distribution from open-channels to end-users by pipes.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
Integrated high-performance control of aerial robots in dynamic environments. The outcomes of this project will enable novice pilots to safely operate aerial robots in dangerous and dynamic environments through novel intuitive user interfaces and advanced control algorithms. The project will contribute strongly to Australia's presence in the emerging world market of unmanned aerial vehicles.
Discovery Early Career Researcher Award - Grant ID: DE120102873
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Securing networked control and estimation systems and safeguarding critical infrastructure. The purpose of this project is to reduce the likelihood of success, and the severity of impact, of a cyber-attack against networked control and estimation systems operating within critical infrastructure. The outcome will be a suite of algorithms, tools and design considerations for networked, industrial, control systems that satisfy this purpose.
Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a l ....Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a large scale, control systems are required with high levels of accuracy, speed and robustness. This project will enable the systematic synthesis of such control systems and thus facilitate advances in micro and nano-electomechanical sensors, biological, medical and materials imaging, and quantum computing devices.Read moreRead less
Modelling and distributed control of large infrastructure networks. The main outcome of this project will be the capability to study systematically basic questions on the operation of large infrastructure systems. Methodologies for control of larger systems and security issues will be developed. Application of the techniques to several applications areas will include power grids and traffic networks.
Spatially distributed complex multiagent systems. This project will develop design methodologies for two related classes of technological systems: wireless sensor networks (in particular mobile sensor networks) and formations of mobile robotic agents. These technologies find application today in defence, and will probably become pervasive in the civilian sector.
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.