Exploring new tools in nonlinear filtering and control. The conceptual advances with new design rules to be developed in the area of nonlinear filtering and control. Major benefits of this project will be its direct applications to state estimation and control problems in automobile, manufacturing, military hardware and medical device industries, and its increased capacity of contact research.
Discovery Early Career Researcher Award - Grant ID: DE170100319
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Fast three-dimensional imaging of neural signal propagation using light-field microscopy. This project aims to use a light-field microscope to reveal the dynamics of sustained neural activity in the brain. The brain’s neurons are highly interconnected, so neural signals can be sustained in a repeating cycle. While this may underlie tasks such as working memory, its role in information processing is unclear. Understanding information processing is vital for finding treatments for neurodegenerativ ....Fast three-dimensional imaging of neural signal propagation using light-field microscopy. This project aims to use a light-field microscope to reveal the dynamics of sustained neural activity in the brain. The brain’s neurons are highly interconnected, so neural signals can be sustained in a repeating cycle. While this may underlie tasks such as working memory, its role in information processing is unclear. Understanding information processing is vital for finding treatments for neurodegenerative disorders. To characterise this large-scale aspect of neural computation, this project measures neural activity at high speed across large numbers of neurons. This is expected to provide evidence of the nature of sustained activity which may in the future lead to treatments for neurodegenerative disorders.Read moreRead less
Decoding neuronal populations for visually-guided decision and action. This project aims to investigate how the cerebral decodes visual information in order to guide sensory-guided actions. Using a high resolution technique, capable of monitoring the activity of many cells in real time, it will study how sensory signals about the motion of visual patterns interact with noise (fluctuations in neuronal activity that are not directly related to the sensation being encoded) in order to determine dec ....Decoding neuronal populations for visually-guided decision and action. This project aims to investigate how the cerebral decodes visual information in order to guide sensory-guided actions. Using a high resolution technique, capable of monitoring the activity of many cells in real time, it will study how sensory signals about the motion of visual patterns interact with noise (fluctuations in neuronal activity that are not directly related to the sensation being encoded) in order to determine decisions made by an animal. Expected outcomes include new knowledge about the cellular circuits responsible for vision, and new technologies for decoding brain activity from physiological measurements, which may in the future guide the development of improved bionic devices such as brain-computer interfaces. Read moreRead less
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
Multimodal retinal imaging provides "insight" into cerebrovascular ageing. Multimodal retinal imaging provides "insight" into cerebrovascular ageing. This project aims to develop a multi-modal imaging technology platform to simultaneously measure amyloid beta and its neurovascular sequelae to identify novel early biomarkers of ageing in the eye and brain. The growing ageing population is an increasing socioeconomic burden. The central nervous system is particularly susceptible to ageing, which i ....Multimodal retinal imaging provides "insight" into cerebrovascular ageing. Multimodal retinal imaging provides "insight" into cerebrovascular ageing. This project aims to develop a multi-modal imaging technology platform to simultaneously measure amyloid beta and its neurovascular sequelae to identify novel early biomarkers of ageing in the eye and brain. The growing ageing population is an increasing socioeconomic burden. The central nervous system is particularly susceptible to ageing, which is difficult to measure at its onset. Critically, as the eye is an easily accessible extension of the cortex, retinal imaging may be a non-invasive surrogate to assess ageing changes in the brain. Anticipated outcomes are a sensitive detector of neural ageing, improved preventative measures, reducing the socioeconomic burden of ageing, and improved quality of life.Read moreRead less
Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage contr ....Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage control of mobile networks which are expected to solve industrial control problems in the defence, communications and robotics industries and manage the environment.Read moreRead less
Control and state estimation in the next-generation interconnected systems. This project aims to develop a systematic and efficient approach to address fundamental challenges in control and secure state estimation in the next-generation interconnected systems. Control and state estimation in high-tech systems is an emerging area of control engineering. The importance of this area is quickly increasing due to the growing use of the next-generation interconnected systems, in which physical and hig ....Control and state estimation in the next-generation interconnected systems. This project aims to develop a systematic and efficient approach to address fundamental challenges in control and secure state estimation in the next-generation interconnected systems. Control and state estimation in high-tech systems is an emerging area of control engineering. The importance of this area is quickly increasing due to the growing use of the next-generation interconnected systems, in which physical and high-tech components are interacting in complex networks. The project is expected to have direct applications in the management of energy networks, and in industrial control and secure state estimation problems in the defence, communications, and automobile industries.Read moreRead less
Microglia and the inflammation spectrum - not just good or bad. Cell-mediated tissue clearance following brain injury is a universal mechanism. However, our understanding of the cells that perform these tasks is very limited. Our project will characterise this inflammatory response at a single-cell level using the zebrafish spinal cord as a versatile experimental model. The project is expected to strongly contribute to the molecular understanding of the mechanisms underlying debris removal and w ....Microglia and the inflammation spectrum - not just good or bad. Cell-mediated tissue clearance following brain injury is a universal mechanism. However, our understanding of the cells that perform these tasks is very limited. Our project will characterise this inflammatory response at a single-cell level using the zebrafish spinal cord as a versatile experimental model. The project is expected to strongly contribute to the molecular understanding of the mechanisms underlying debris removal and will advance innovative technologies that facilitate intellectual progress in neuroscience. It will produce new insights into the process of neuronal degeneration, promote Australia’s growing reputation as a global leader in neuroscience, and provide high quality training for early career researchers.Read moreRead less
Estimation of Complex Networked Dynamic Systems. An essential part of science and engineering is the development of mathematical models to describe how observed quantities relate to one another. For example, such models have proven to be extremely powerful in predicting the value of financial instruments, in providing high performance control of robots, and in detecting faults or changes in petrochemical processing plants. Constructing these models based on measurements from the system itself is ....Estimation of Complex Networked Dynamic Systems. An essential part of science and engineering is the development of mathematical models to describe how observed quantities relate to one another. For example, such models have proven to be extremely powerful in predicting the value of financial instruments, in providing high performance control of robots, and in detecting faults or changes in petrochemical processing plants. Constructing these models based on measurements from the system itself is known as system identification. This project is directed at developing new system identification methods for situations that, on the one hand, have previously been considered unsolvable, and on the other, are acknowledged as being of high practical interest.Read moreRead less