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
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.
Renewable energy generation from flow-induced vibration. Much engineering effort has been expended to eliminate vibration of marine structures. This project seeks to provide the basis for the development of tidal energy harnessing, by deliberately amplifying and harnessing vibration. This technology offers the promise of capturing clean, zero-emissions energy, while presenting no risk to marine life.
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.
Efficient and high-precision system identification in quantum cybernetics. This project aims to develop new theories and algorithms to enhance system identification capabilities in quantum cybernetics from the perspective of systems and control. The project is anticipated to advance key knowledge and provide effective methods to enable identification of microsystems for wide applications arising in this emerging technology revolution. The intended outcomes are fundamental theories, and efficient ....Efficient and high-precision system identification in quantum cybernetics. This project aims to develop new theories and algorithms to enhance system identification capabilities in quantum cybernetics from the perspective of systems and control. The project is anticipated to advance key knowledge and provide effective methods to enable identification of microsystems for wide applications arising in this emerging technology revolution. The intended outcomes are fundamental theories, and efficient estimation methods for identifying these systems. This project will make important contributions to accelerating practical applications of new technology, and deliver new knowledge and skills for Australia's future industries, which will benefit Australia's economic growth.Read moreRead less
Predictive models to study neuromuscular control of walking in older people. This project aims to address a major challenge in human motion simulation: to deliver computationally-efficient predictive simulations of movement biomechanics. It plans to bring together the latest developments in computational modelling, medical imaging and nonlinear optimal control theory to advance current understanding of how individual lower-limb muscles stabilise and control body movement during locomotion in hea ....Predictive models to study neuromuscular control of walking in older people. This project aims to address a major challenge in human motion simulation: to deliver computationally-efficient predictive simulations of movement biomechanics. It plans to bring together the latest developments in computational modelling, medical imaging and nonlinear optimal control theory to advance current understanding of how individual lower-limb muscles stabilise and control body movement during locomotion in healthy young and older adults. New knowledge of how age-related changes in muscle mechanical properties affect the neuromuscular control of walking may assist in the design of more targeted exercise-based therapies aimed at maintaining independent function and improving the quality of life for older adults.Read moreRead less
Model reduction of open markov quantum systems: theory and algorithms. This project will advance international efforts in quantum technology research by developing methods and tools to find simpler lower complexity models for certain photonic (light based) devices for information processing. Such simplification methods can critically reduce the complexity of designing complex technologies based on these devices.
Stabilisation of nonlinear quantum feedback control systems. One of the most exciting technological developments of this century promises to be the development of quantum technology. Quantum feedback systems will play a key part of this technology and this project will develop the underlying fundamental theory which will be crucial to the systematic design of quantum feedback control systems.
Consensus-based theory of robust and resilient distributed estimation. The invention of cheap sensors, programmable microcontrollers and fast wireless communication protocols has created new opportunities for distributed monitoring and control of resources in many technological areas vital for Australia. The project will develop the fundamental theory which will underpin cutting edge technologies in those areas.