Finite-dimensional Sampled-data Control of Nonlinear Spatially Distributed Parameter Systems. Optical communication networks, smart materials and fluid flows, are all examples of systems whose behaviour can be significantly improved by automatic control. These are identified as some of the key technologies that will shape our future. This project will contribute to the fundamental science and engineering design of such diverse systems. Two postdoctoral fellows and one graduate student will be t ....Finite-dimensional Sampled-data Control of Nonlinear Spatially Distributed Parameter Systems. Optical communication networks, smart materials and fluid flows, are all examples of systems whose behaviour can be significantly improved by automatic control. These are identified as some of the key technologies that will shape our future. This project will contribute to the fundamental science and engineering design of such diverse systems. Two postdoctoral fellows and one graduate student will be trained in this important emerging field.Read moreRead less
Formation of Nanoporous titanium dioxide (TiO2) by Anodization of Titanium Thin Films. The development of nanoporous titanium dioxide (TiO2), with pore diameter less than 25 nm, represents a significant advance for both R&D and industrial applications. It is an invaluable material for the manufacture of a range of electronic and optical devices. These structures can be employed for the development of efficient thermoelectric coolers, highly sensitive biosensors as well as optical micro-devices w ....Formation of Nanoporous titanium dioxide (TiO2) by Anodization of Titanium Thin Films. The development of nanoporous titanium dioxide (TiO2), with pore diameter less than 25 nm, represents a significant advance for both R&D and industrial applications. It is an invaluable material for the manufacture of a range of electronic and optical devices. These structures can be employed for the development of efficient thermoelectric coolers, highly sensitive biosensors as well as optical micro-devices with high refractive index. In addition, nanoporous TiO2 has numerous applications in the fields of nanotechnology, bioengineering, diagnostics, materials science, and in the building industry. Australia will greatly benefit from the research and development of such a product with its promising market.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
Nonlinear systems with disturbances: analysis, controller design and tradeoffs. A range of classical asymptotic methods (averaging, singular perturbations and slowly varying techniques) have been recently generalized to deal with nonlinear systems with disturbances. The goal of this proposal is the activation of these methods in analysis, controller design and understanding the design tradeoffs of nonlinear system with disturbances. Application areas are in adaptive, vibrational and gain schedul ....Nonlinear systems with disturbances: analysis, controller design and tradeoffs. A range of classical asymptotic methods (averaging, singular perturbations and slowly varying techniques) have been recently generalized to deal with nonlinear systems with disturbances. The goal of this proposal is the activation of these methods in analysis, controller design and understanding the design tradeoffs of nonlinear system with disturbances. Application areas are in adaptive, vibrational and gain scheduling control.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
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
Quantum Nanotechnology: Concepts to Devices. Just as the technological advances of the past few decades at the micro level fundamentally changed our lives, so too the emerging era of 'quantum nanotechnology' promises to revolutionise our society in the 21st century. This Fellowship will explore and develop critical areas of quantum nanotechnology - absolutely secure communication, nanoscopic level imaging, and exponentially fast computers. Such technology will have far reaching applications in a ....Quantum Nanotechnology: Concepts to Devices. Just as the technological advances of the past few decades at the micro level fundamentally changed our lives, so too the emerging era of 'quantum nanotechnology' promises to revolutionise our society in the 21st century. This Fellowship will explore and develop critical areas of quantum nanotechnology - absolutely secure communication, nanoscopic level imaging, and exponentially fast computers. Such technology will have far reaching applications in all areas of society and provide significant National benefit.Read moreRead less
Towards an Information Theory for Communication-Limited Control Systems. In a number of emerging applications in communications, manufacturing and defence, various dynamical systems are measured and controlled by transmitting feedback over digital communication channels. In such situations, the often limited data rate available for transmissions can have a significant negative impact on the overall objectives. This proposal aims to develop techniques for analysing and designing such systems, and ....Towards an Information Theory for Communication-Limited Control Systems. In a number of emerging applications in communications, manufacturing and defence, various dynamical systems are measured and controlled by transmitting feedback over digital communication channels. In such situations, the often limited data rate available for transmissions can have a significant negative impact on the overall objectives. This proposal aims to develop techniques for analysing and designing such systems, and to delineate the fundamental limits to their performance. This has the potential to contribute to a greater understanding of the behaviour of many real systems which combine communications and control in feedback loops.Read moreRead less
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