Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha ....Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
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
Safe, Plug and Play, Multi Agent Dynamic Systems. From driverless cars, to networks of nano satellites, and complex biological networks, the modern world has many examples of multi agent dynamic systems that need careful coordination and control to perform correctly. In many cases, these systems are built up using designs based on intuition, computer simulations and empirical testing. However, there is a clear need to advance the fundamental understandings of such systems: (i) Verifiable overall ....Safe, Plug and Play, Multi Agent Dynamic Systems. From driverless cars, to networks of nano satellites, and complex biological networks, the modern world has many examples of multi agent dynamic systems that need careful coordination and control to perform correctly. In many cases, these systems are built up using designs based on intuition, computer simulations and empirical testing. However, there is a clear need to advance the fundamental understandings of such systems: (i) Verifiable overall dynamic system properties need to be derived to give assurance of performance in situations not previously envisaged; (ii) It is also critical to understand stable system behaviours not just with fixed configurations, but with agile configurations such as splitting, merging, and morphingRead moreRead less
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 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
Robustness, resilience and security of networked dynamic systems. This project will develop advanced digital control techniques to address security, resilience and robustness in complex networks and deliver fundamental advances in the technology for secure and reliable networks. The project will advance the theory on consensus of networked multi-agent systems to facilitate the fast adoption of the internet of things and the continuous growth of cyber-physical systems These systems in many cases ....Robustness, resilience and security of networked dynamic systems. This project will develop advanced digital control techniques to address security, resilience and robustness in complex networks and deliver fundamental advances in the technology for secure and reliable networks. The project will advance the theory on consensus of networked multi-agent systems to facilitate the fast adoption of the internet of things and the continuous growth of cyber-physical systems These systems in many cases work with high efficiency, stability, and low communication overheads. However, there are cases where disturbance amplification and cascading failures can arise from relatively small unforeseen events. The theoretical work will be complemented by detailed nonlinear networked simulations, using intelligent vehicle systems as a case study.Read moreRead less
Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic des ....Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic design approach for wearable robots to achieve the intended task while optimising other relevant considerations, such as human factors and the practical bulk of the robot; and (2) a novel control and interaction strategy to accommodate the variations in realistic living and working environments.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
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less