Learning control and computational models of human motor systems. With the aim of understanding how humans learn their body movements, this project addresses fundamental cross-disciplinary issues of learning control, robotics and computational models of human motor systems. The results will lead to improvements in smart industrial automation and the development of more effective rehabilitation stategies.
Discovery Early Career Researcher Award - Grant ID: DE200101128
Funder
Australian Research Council
Funding Amount
$399,235.00
Summary
Control and filtering of distributed systems with communication-scheduling. This project aims to develop an analysis and design framework to enhance the reliability of the next-generation advanced manufacturing systems with security vulnerability and communication scheduling. Reliable control and filtering of distributed systems is an emerging area of automation and control engineering in the tide of the 4th industrial revolution. Expected outcomes of this project include obtaining analysis crit ....Control and filtering of distributed systems with communication-scheduling. This project aims to develop an analysis and design framework to enhance the reliability of the next-generation advanced manufacturing systems with security vulnerability and communication scheduling. Reliable control and filtering of distributed systems is an emerging area of automation and control engineering in the tide of the 4th industrial revolution. Expected outcomes of this project include obtaining analysis criteria uncovering the effect from communication scheduling and cyber-attacks, and developing a novel framework based on co-design perspective to realize the distributed system design, while being applied in the cooperative control of various robots or manipulators in unmanned factories.Read moreRead less
Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of ....Control of network systems with signed dynamical interconnections. New technologies such as online recommendations, smart grids, and cyber-physical systems are becoming backbone infrastructure. Such systems are operated as network systems with interconnected functioning units (agents) where cooperative and adversarial agent relations often coexist. This project aims to develop the theories and tools for designing and building dynamic networks with signed interactions that arise from a variety of applications where both cooperative and adversarial agent interactions coexist. By developing theories and algorithms for control and identification over such systems, this project will contribute directly to their safe and robust operation. The resulting theories will provide deeper understanding of network control systems and the resulting algorithms will enable the elimination of attackers and malicious users for online review systems and smart grids. This project will contribute to increased cybersecurity for all Australians.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
Discovery Early Career Researcher Award - Grant ID: DE140101449
Funder
Australian Research Council
Funding Amount
$392,404.00
Summary
Robust Control and Filtering for Regulation of Flow in Implantable Rotary Blood Pumps. This project aims to derive and implement a novel, robust and non-invasive dynamical modelling, state estimation and physiological control to enable a left ventricular assist device to behave in a natural Frank-Starling like manner. The proposed multi-objective platforms will utilise sensorless feedback signals (measurements) from the left ventricular assist device to design a robust, adaptive and responsive c ....Robust Control and Filtering for Regulation of Flow in Implantable Rotary Blood Pumps. This project aims to derive and implement a novel, robust and non-invasive dynamical modelling, state estimation and physiological control to enable a left ventricular assist device to behave in a natural Frank-Starling like manner. The proposed multi-objective platforms will utilise sensorless feedback signals (measurements) from the left ventricular assist device to design a robust, adaptive and responsive control system that effectively controls the operation of the pump to meet the body's physiological needs, perturbations and to cope with changing physiological demands. This will allow, for example, heart failure patients to resume their normal daily lives and minimise the need for continuous supervision by clinical staff.Read moreRead less
Stability and performance analysis for uncertain time-varying interconnected systems. This project will deliver new mathematical tools for the study of interconnected systems. This will broaden the scope for rigorously certifying engineered systems and understanding interactions in the natural world. Potential application areas include telecommunications, transport, water distribution, smart-grids, neuroscience and cell biology.
Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the mi ....Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the microbial fermentation of 1,3-propanediol production, where the bacteria kinetic parameters are uncertain without full knowledge of the probability distribution. This theory will also be applicable to other fermentation processes. The project outcomes are expected to significantly improve the productivity of the biochemical engineering industry involving fermentation processes.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.
Two-price quantitative finance. This project aims to establish a novel field, namely two-price quantitative finance, and explore its applications. The new field will integrate two major schools for modelling and explain the presence of two prices, the buying and selling prices, widely observed in the real-world markets, and the equilibrium approach from the fundamental law of one price. The outcomes would deepen our understanding of the fundamental relationship among liquidity, prices, risk and ....Two-price quantitative finance. This project aims to establish a novel field, namely two-price quantitative finance, and explore its applications. The new field will integrate two major schools for modelling and explain the presence of two prices, the buying and selling prices, widely observed in the real-world markets, and the equilibrium approach from the fundamental law of one price. The outcomes would deepen our understanding of the fundamental relationship among liquidity, prices, risk and the economy. This project expects to bring about long-term impact on quantitative finance and related applications through providing a deep understanding of, and a new perspective for, the design, risk and fairness of the finance, property and insurance markets.Read moreRead less