Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safe ....Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.Read moreRead less
What learning is there in learning control? This project seeks to establish a meaningful definition and quantifiable measure of learning in the context of adaptive or learning control. The project is designed within the context of human motor skill learning, and assesses the speed of learning and the quality of learning (reflected by the accuracy of the motor task execution). The project plans to use measures to provide a mathematically precise meaning for the notion of learning. The outcome has ....What learning is there in learning control? This project seeks to establish a meaningful definition and quantifiable measure of learning in the context of adaptive or learning control. The project is designed within the context of human motor skill learning, and assesses the speed of learning and the quality of learning (reflected by the accuracy of the motor task execution). The project plans to use measures to provide a mathematically precise meaning for the notion of learning. The outcome has the potential to be applied to the design of technology-assisted training of motor skills, from the recovery of lost motor skills after trauma to the development of elite athletes.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
Feedback entropy in dynamical systems. This project aims to use the fundamental concept of entropy to help evaluate the decision-making effort in a variety of feedback control systems in science and engineering. This understanding will help develop smarter technologies and algorithms in areas such as manufacturing, vehicular technology and automated irrigation.
Innovative X-by-Wire Control Systems for Improved Vehicle Manoeuvrability and Stability. Future automobiles will be equipped with safety-critical ‘x-by-wire’ systems, such as ‘steer-by-wire’, ‘brake-by-wire’, and ‘drive-by-wire’, to enable active safety control and improve reliability and performance. This project aims to develop a new coordinated control strategy based on an in-depth understanding of the fundamental dynamics and stability characteristics of vehicles. Corresponding x-by-wire sys ....Innovative X-by-Wire Control Systems for Improved Vehicle Manoeuvrability and Stability. Future automobiles will be equipped with safety-critical ‘x-by-wire’ systems, such as ‘steer-by-wire’, ‘brake-by-wire’, and ‘drive-by-wire’, to enable active safety control and improve reliability and performance. This project aims to develop a new coordinated control strategy based on an in-depth understanding of the fundamental dynamics and stability characteristics of vehicles. Corresponding x-by-wire systems will then be implemented, using a novel networked bilateral-control concept and new haptic devices for enhancing the overall performance and safety of vehicles. This project will lead to the innovative design of vehicle active safety systems for automobile manufacturing in Australia and the rest of the world.Read moreRead less
Exploiting the Symmetry of Spatial Awareness for 21st Century Automation. This project aims to enable autonomous robotic systems to operate more robustly and more reliably in the complex, cluttered and dynamic environments found in real-world applications. Applying the latest understanding of symmetry in non-linear systems and control provides tools that can be used to develop new design methodologies for spatial awareness algorithms. The outcomes of this project should increase Australia's ca ....Exploiting the Symmetry of Spatial Awareness for 21st Century Automation. This project aims to enable autonomous robotic systems to operate more robustly and more reliably in the complex, cluttered and dynamic environments found in real-world applications. Applying the latest understanding of symmetry in non-linear systems and control provides tools that can be used to develop new design methodologies for spatial awareness algorithms. The outcomes of this project should increase Australia's capacity in high-tech systems and deliver world best open source code for spatial awareness problems to enable the next generation of automation in Australia.Read moreRead less
Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interact ....Robust Coherent Control Engineering for Quantum Systems and Networks. This project aims to develop new methods for the design of robust coherent controllers for emerging applications to quantum systems and networks. Using robust controllers which are themselves quantum systems, tools from the theory of optimal risk sensitive control aim to enable technological systems to be designed with high levels of performance in the face of unavoidable uncertainties due to imperfect fabrication and interactions with the environment. The research aims to yield systematic control engineering methods to combat the effects of quantum decoherence which is critical in order to make quantum technologies such as quantum computing truly practical. Applications include computing, secure communications, sensing and simulationsRead moreRead less
Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engi ....Coherent control engineering for state estimation in quantum linear systems. This project aims to develop new methodologies for designing coherent controllers to facilitate optimal estimation in systems incorporating quantum sensors such as optomechanical and atom-interference sensors. New quantum sensors are being developed which have the potential to achieve sensitivities approaching fundamental physical limits. However to fully exploit these devices, this project will develop new control engineering and signal processing methods taking into account the fundamental properties of quantum systems and noise. This will enable quantum sensors to be applied to a wide range of applications including transport, medical imaging, civil engineering, and the detection of hazards.Read moreRead less
Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a l ....Robust control of highly resonant flexible and nanoscale systems. This project aims to develop new methodologies to analyse and design control systems for highly resonant flexible structures occurring in emerging areas of precision engineering such as atomic force microscopes, scanning tunnelling microscopes and microelectromechanical systems. Critical to the operation of these instruments are feedback control systems. In order to enable microelectromechanical technologies to be developed at a large scale, control systems are required with high levels of accuracy, speed and robustness. This project will enable the systematic synthesis of such control systems and thus facilitate advances in micro and nano-electomechanical sensors, biological, medical and materials imaging, and quantum computing devices.Read moreRead less