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.
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
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.
Optimal Control of Stochastic Partial Differential Equations. The problem to control a stochastic process so as to minimize a certain cost functional arises in many areas of Applied Sciences, Engineering and Mathematical Finance. An important practical question is to find, for a given cost functional, the optimizing control in a feedback form. We propose new tools to construct such optimal controls for a class of stochastic processes which are solutions to stochastic partial differential equati ....Optimal Control of Stochastic Partial Differential Equations. The problem to control a stochastic process so as to minimize a certain cost functional arises in many areas of Applied Sciences, Engineering and Mathematical Finance. An important practical question is to find, for a given cost functional, the optimizing control in a feedback form. We propose new tools to construct such optimal controls for a class of stochastic processes which are solutions to stochastic partial differential equations. As an outcome of this project we will obtain methods to determine the optimal control policies for a large variety of cost functionals and degenerated stochastic partial differential equations, in particular those arising in modelling of volatility in Finance.Read moreRead less
Humane Chemical Methods for Population Management of Highly Valued Large Mammals. In many countries valued wild and feral animals are nonetheless too numerous. Their population numbers must be controlled through fertility. Examples are koalas in Australia, deer and seals in North America, cattle in India and dogs in Thailand. We aim to develop benign implants for castration based upon the gonadotrophin releasing hormone (GnRH). These implants are easily administered. The outcomes will be to ....Humane Chemical Methods for Population Management of Highly Valued Large Mammals. In many countries valued wild and feral animals are nonetheless too numerous. Their population numbers must be controlled through fertility. Examples are koalas in Australia, deer and seals in North America, cattle in India and dogs in Thailand. We aim to develop benign implants for castration based upon the gonadotrophin releasing hormone (GnRH). These implants are easily administered. The outcomes will be to protect Australia's ?green? image , worldwide market opportunities for the Australian companies involved in this application and valuable intellectual property for Macquarie. The methodology will in time allow us to apply it to the treatment of cancer.Read moreRead less
Genomic Basis of Resistance to Poisoning by Sodium Fluoroacetate (Compound 1080) in Australian Wildlife. In Australia agricultural conservation activities worth billions of dollars are protected by using sodium fluoroacetate (1080) against pest animals. Target species are Australian rabbits and foxes and New Zealand brushtail possums. Prolonged use of biocontrol agents causes genetic resistance. This occurs naturally in Western Australia in native animals living in areas with high levels of 1080 ....Genomic Basis of Resistance to Poisoning by Sodium Fluoroacetate (Compound 1080) in Australian Wildlife. In Australia agricultural conservation activities worth billions of dollars are protected by using sodium fluoroacetate (1080) against pest animals. Target species are Australian rabbits and foxes and New Zealand brushtail possums. Prolonged use of biocontrol agents causes genetic resistance. This occurs naturally in Western Australia in native animals living in areas with high levels of 1080 in native plants. As part of the Kangaroo Genome project our aim is to discover the genomic basis of this resistance. The outcomes will be improved ability to manage pest animal populations and understanding of the evolution of plant-animal interactions.Read moreRead less
Dissipativity based distributed model predictive control for complex industrial processes. This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.
Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault ....Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plant-wide processes. It aims to capture the key dynamic features of normal and abnormal processes by their dissipativity properties, and to use these to develop an efficient online fault diagnosis approach based on process input and output trajectories.Read moreRead less