Plantwide Control of Modern Chemical Processes from a Network Perspective. Complex plants increasingly appear in modern Australian process industries, particularly in mineral processing, petrochemical and renewable energies sectors. These plants represent vast capital costs and manufacture products at a very large scale. Improvement in control and operation of these processes can potentially provide significant economic benefits. The expected outcome of this research is an effective approach to ....Plantwide Control of Modern Chemical Processes from a Network Perspective. Complex plants increasingly appear in modern Australian process industries, particularly in mineral processing, petrochemical and renewable energies sectors. These plants represent vast capital costs and manufacture products at a very large scale. Improvement in control and operation of these processes can potentially provide significant economic benefits. The expected outcome of this research is an effective approach to improve operational safety, efficiency, product quality and manufacturing flexibility, helping to build a more efficient and environmental conscious Australian chemical industry. This project will also enhance Australia's scientific reputation in the frontier research area of advanced process control and management.Read moreRead less
Accurate modelling of large multiscale dynamical systems for engineering and scientific simulation and analysis. In current modelling the underlying microscopic mechanisms are known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available. The project's computational methodologies will circumvent this stumbling block to radically change the modelling, exploration and understanding of complex systems.
Bodies in space. By investigating how a change in shape of the human body can produce a change in spatial orientation, the project will bring a fundamental advance of knowledge in the intersection of applied mathematics, sports science and mechanical engineering. These knowledge advances will lead to a novel theory regarding the control of the aerial dynamics of athletes, specifically springboard and platform divers. When applied in collaboration with world class Australian athletes, this theory ....Bodies in space. By investigating how a change in shape of the human body can produce a change in spatial orientation, the project will bring a fundamental advance of knowledge in the intersection of applied mathematics, sports science and mechanical engineering. These knowledge advances will lead to a novel theory regarding the control of the aerial dynamics of athletes, specifically springboard and platform divers. When applied in collaboration with world class Australian athletes, this theory will result in innovative platform and springboard diving techniques and improved performance. The reach of new insights generated by this work extends to many other fields, including robotics, spacecraft dynamics and nano technology.Read moreRead less
Functional state observers for large-scale interconnected systems. This project will produce conceptual advances with new design rules to develop robust and efficient functional state observers for interconnected systems. The outcomes will advance the theory of functional observers and improve the operation, efficiency and performance of critical infrastructure such as power grids, water and traffic networks.
Complex Multiscale Systems: Modeling, Analysis and Scientific Computation. This project aims to develop and implement a systematic approach, both analytic and computational, to extract compact, accurate, system level models of complex physical and engineering systems. The wide ranging methodology is to construct computationally efficient "wrappers" around fine scale, microscopic, detailed descriptions of dynamical systems (particle or molecular simulation, or partial differential equations or la ....Complex Multiscale Systems: Modeling, Analysis and Scientific Computation. This project aims to develop and implement a systematic approach, both analytic and computational, to extract compact, accurate, system level models of complex physical and engineering systems. The wide ranging methodology is to construct computationally efficient "wrappers" around fine scale, microscopic, detailed descriptions of dynamical systems (particle or molecular simulation, or partial differential equations or lattice equations). Comprehensively accounting for multiscale interactions between subgrid processes among macroscale variations ensures stability and accuracy. Based on dynamical systems theory and analysis, this approach is expected to empower systematic analysis and understanding for optimal macroscopic simulation for forthcoming exascale computing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101191
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Formation of the osteocyte network in bone matrix. The formation of new bone, which occurs throughout life for bone renewal and acutely after fractures, entraps a network of cells that can detect micro-damage and direct repair mechanisms. Mathematical and computational methods will be used to understand how this network can lead to a self-detecting and self-repairing biomaterial.
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and c ....A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and convex optimisation, extending the power of optimisation-based control from linear to non-linear systems. The project is expected to lead to new theoretical developments, constructive algorithms and software, and experimental demonstrations on a range of platforms including bipedal walking robots and underwater robots.Read moreRead less
Activating Lyapunov-Based Feedback - Nonsmooth Control Lyapunov Functions. This project aims to provide a novel high-performance feedback control design methodology, applicable in a wide range of areas from power to aerospace to biological systems. A general approach of feedback design based on so-called Lyapunov methods has been available for many years. However, this approach has suffered from several drawbacks including the inability to account for constrained system actions (eg where certain ....Activating Lyapunov-Based Feedback - Nonsmooth Control Lyapunov Functions. This project aims to provide a novel high-performance feedback control design methodology, applicable in a wide range of areas from power to aerospace to biological systems. A general approach of feedback design based on so-called Lyapunov methods has been available for many years. However, this approach has suffered from several drawbacks including the inability to account for constrained system actions (eg where certain system variables must remain within certain constraints) and the inability to specify desired system performance. This project intends to leverage recent developments in Lyapunov methods, including novel numerical techniques, to develop a high-performance feedback control methodology for nonlinear dynamical systems competitive with the best currently available techniques.Read moreRead less
System identification of microstructure in the brain using magnetic resonance. Magnetic Resonance Imaging technologies will be exploited to probe the microstructure of the brain, using powerful Bayesian optimisation techniques and innovative uses of magnetic resonance. The project will in particular develop non-invasive imaging methods to quantify iron content in the brain, important for research on dementia and Alzheimer's disease.