Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, display ....Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, displaying strong interactions within certain clusters of states and weak interactions among these clusters. By utilizing this property, the proposed project will design and analyze novel reduced-complexity signal processing and control algorithms with rigorous performance guarantees. In addition, this project will explore possibilities of making these algorithms hierarchical such that they are easy to implement through decentralization.Read moreRead less
Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing ....Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing system proposed in this research will provide power companies with a cost effective insulator condition monitoring tool to continually survey Australia's aging electrical infrastructure. This ensures a reliable electricity supply to consumers, while also protecting the ecosystems of Australia's bushland. Read moreRead less
Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as ....Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as Hidden Markov Models and Jump Markov Linear Systems. It focuses on the design and analysis of stochastic control algorithms such as dynamic programming and simulation based randomized methods. The research will lead to an integrated theory incorporating stochastic control, statistical signal processing and combinatorial optimization. We will also apply the resulting techniques to tracking maneuvering targets given noisy observations.Read moreRead less
Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the conv ....Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the converter while simultaneously ensuring the synthesis of switched waveforms with the required spectral quality. This project offers the potential to eliminate this barrier to the use of Multicell converter technology. In addition this project emphasises the development and training of people skilled in the design and development of this technology.Read moreRead less
Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be design ....Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be designed with any false alarm rate. This is important since frequent false alarms lead to wasted resources and operators will stop using the system. The technology once developed can be transferred to many other application areas such as urban water supplies, pipelines for oil and gas, and the process and manufacturing industries.Read moreRead less
Design of Large-Scale Interconnected Dynamical Systems. Our aim is to develop a theory for the design, analysis and operation of large-scale interconnected systems. In recent years there has been an explosive growth in the implementation and use of large-scale systems due to the ready availability of interconnection technology. However, there is no satisfactory systematic theoretical basis for identifying and quantifying potential advantages or pitfalls of large-scale interconnections. Several a ....Design of Large-Scale Interconnected Dynamical Systems. Our aim is to develop a theory for the design, analysis and operation of large-scale interconnected systems. In recent years there has been an explosive growth in the implementation and use of large-scale systems due to the ready availability of interconnection technology. However, there is no satisfactory systematic theoretical basis for identifying and quantifying potential advantages or pitfalls of large-scale interconnections. Several aspects of interconnected systems will be considered. For example, can large-scale systems composed of dynamical sub-systems linked through communication channels be systematically designed? How does overall system behaviour vary with scale and subsystem dynamics? Such questions are largely open and their resolution lies at the heart of this project.Read moreRead less
Optimal Control of Modular Multilevel Power Electronic Converter Systems for Electrical Distribution Networks. This project will improve the national capability to use multilevel power electronic converter systems to help operate and maintain more efficient electrical distribution networks. The outcomes of the project will also contribute to the implementation into electrical distribution systems of renewable and distributed energy generation systems, and hence will help to reduce greenhouse ga ....Optimal Control of Modular Multilevel Power Electronic Converter Systems for Electrical Distribution Networks. This project will improve the national capability to use multilevel power electronic converter systems to help operate and maintain more efficient electrical distribution networks. The outcomes of the project will also contribute to the implementation into electrical distribution systems of renewable and distributed energy generation systems, and hence will help to reduce greenhouse gas emissions. In addition, it is anticipated that the control strategies to be investigated could lead to subsequent commercial developments with local industries. Finally, the project will foster and develop international links in power electronics between Monash University, and leading-edge international research groups in the area around the world.Read moreRead less
Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, ....Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, potentially leading to a complete system failure during mass deployment. This project will conduct fundamental research intended to enable dynamic spectrum accessing in automobile radars and redesign the radar systems in the form of sequence and waveform designs to suit requirements.Read moreRead less
Model quality evaluation from finite data sets. Models of dynamical systems are used in many areas of science and engineering. There will always be uncertainties associated with a model, and in this project we will develop a tool for assessing this uncertainty. Having a good description of the uncertainty will depending on the application, lead to better designs, more efficient operations, better decision making etc. One particular application area of this research is to quantify the uncertainti ....Model quality evaluation from finite data sets. Models of dynamical systems are used in many areas of science and engineering. There will always be uncertainties associated with a model, and in this project we will develop a tool for assessing this uncertainty. Having a good description of the uncertainty will depending on the application, lead to better designs, more efficient operations, better decision making etc. One particular application area of this research is to quantify the uncertainties in models of irrigation channels. This will allow us to design better systems for regulation of water levels and flows, leading to large water savings and significant environmental benefits.
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Empowering optical metamaterials with gain. Artificial materials composites (metamaterials) make it possible for us to observe extra-ordinary properties, such as magnetic behaviour in glass and bending light in any direction. The project proposes to enhance the usability of metamaterials by redesigning them to strengthen their interaction with light, thus making them suitable for industrial applications.