Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
A Cluster Randomised Controlled Trial Of Nurse And General Practitioner Partnership For Care Of COPD
Funder
National Health and Medical Research Council
Funding Amount
$449,377.00
Summary
Chronic Obstructive Pulmonary Disease (COPD) is a chronic disease that can progress to severe disability and use of hospital services. It is an important cause of both death and disability in Australia. Specifically it is the third leading cause of disease burden after heart disease and stroke. Smoking is the most important cause of the disease and there is strong evidence that smoking cessation will largely prevent progression of COPD. National evidence based guidelines for management of COPD w ....Chronic Obstructive Pulmonary Disease (COPD) is a chronic disease that can progress to severe disability and use of hospital services. It is an important cause of both death and disability in Australia. Specifically it is the third leading cause of disease burden after heart disease and stroke. Smoking is the most important cause of the disease and there is strong evidence that smoking cessation will largely prevent progression of COPD. National evidence based guidelines for management of COPD were published in 2003 but these need to be implemented in the community. General practice is well placed to have a key role in early intervention and evidence based management of COPD. There is evidence that specialised nurses working in collaboration with GPs can improve the care the chronic illnesses including COPD. Care Plans with input from health professionals from a range of disciplines have been recommended for COPD but there are barriers to implementing these in general practice. This project brings together nurse assistance and care planning in a model of care designed to deliver best practice management of COPD in the community. The aim of this research is to evaluate the impact of anurse and GP partnership for care of COPD. We will examine the effect on quality of care and health outcomes at 6 and 12 months follow up. Our hypothesis is that the use of a nurse to work as a team with the patient and GP to develop and implement a care plan based on clinical practice guidelines will improve the quality of care received and have a beneficial effect on the patients' respiratory and overall health. This research will be of major significance for improving COPD care in the community and will have far reaching implications for both policy and practice. It will also define a new role for nurses and GPs working in partnership.Read moreRead less
Do Synaptic-like Mechanisms Control Insulin Secretion?
Funder
National Health and Medical Research Council
Funding Amount
$593,235.00
Summary
An estimated 415 million people world-wide were diagnosed with diabetes in 2015. One of the causal factors in disease is the dysregulation of insulin secretion. We have developed new techniques to study insulin secretion that has led us to propose a new model for secretory control. This proposal sets out experiments to critically test this model. The outcomes could have wide-reaching impact on understanding and for future treatment and prevention of the diabetes.
The Structure And Function Of The Apical Domain In Insulin Secreting Beta Cells.
Funder
National Health and Medical Research Council
Funding Amount
$571,741.00
Summary
Loss of control of insulin secretion is causal in diabetes and therefore its understanding is a key goal to shed light on the disease. We have recently identified a new domain in the insulin secreting cells, called the apical domain. This proposal will define the role of this apical domain in controlling insulin secretion. The outcomes could provide new insights into how diabetes develops and new targets for therapies.
Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small system ....Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small systems are not suitable for efficient operations of large scale systems. Application examples include distributed state estimation for power networks, control of multi-agent systems and optimal scheduling of transportation networks. The outcomes of this project are vital to the understanding and management of these systems. Read moreRead less
The Preferential Release Of Young Insulin Secretory Granules.
Funder
National Health and Medical Research Council
Funding Amount
$670,005.00
Summary
The aim of this study is to investigate the cause of reduced glucose induced insulin secretion in type 2 diabetes. In pancreatic beta-cells, insulin is packaged and stored in secretory granules (SGs). Upon stimulation, these SGs deliver insulin to the bloodstream. It is known that insulin SGs exist in two functionally distinct pools; and one pool is preferentially secreted upon stimulation. How a cell can differentiate the two SG pools is unclear, and we will address this issue in this project.
A New Approach to Sampled-Data Control Design for Nonlinear Systems. This project aims to exploit new sampling and sampled-data modelling insights to bridge the continuous/sampled-data gap in the control of nonlinear systems. The goal is to investigate the impact of these insights on the control design problem and provide a new class of digital control laws for continuous time non-linear systems.
Robust control of power electronics and drives: a synthesis of traditional and model predictive control approaches. This project aims to generate high-performance strategies for the control of power converters. Through the combination of traditional and modern approaches, the project will develop methods which are more reliable and give better energy efficiency than current state of the art techniques.
Robust control of mobile networked systems. The conceptual advances with new design rules are to be developed in the area of robust control of mobile networked systems. A major benefit of the research to be carried out in this project will be its direct application to industrial control problems in the defence, communications and robotics industries and to the management of the environment.