Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: ....Resource-aware Signal Processing and Control Algorithms for Networked Sensor Systems. Networked sensing and control is an important technology for Australia's future. Applications range from monitoring wildlife habitats to safety management of large civil structures. This project will lead to sustainable engineering solutions for these applications and provide key fundamental performance limits. Beyond the creation of new theory and algorithms, the national and community benefits will include: (i) enhancement of Australia's reputation for innovative Engineering research through quality publications and international collaborations; and (ii) improvement of the research and development capability in the ICT sector through rigorous training of postgraduate students and postdoctoral fellows.Read moreRead less
Dynamical systems and iterative decoding of low-density parity-check codes. Modern telecommunication systems are increasingly built on principles of iteration and feedback. By contributing to the knowledge base of iterative telecommunication systems, this project addresses important fundamental problems in the area of telecommunications. The Federal Government has clearly indicated that it recognises the importance that information and communications technology (ICT) plays in the economic and so ....Dynamical systems and iterative decoding of low-density parity-check codes. Modern telecommunication systems are increasingly built on principles of iteration and feedback. By contributing to the knowledge base of iterative telecommunication systems, this project addresses important fundamental problems in the area of telecommunications. The Federal Government has clearly indicated that it recognises the importance that information and communications technology (ICT) plays in the economic and social fabric of Australia, through the recent Innovation Action Plan, Backing Australia's Ability. These technologies are key drivers of the information economy, the spawning of new businesses, the transformation of established industries, the opening up of new export markets, and the creation of new jobs.Read moreRead less
Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next gener ....Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next generation mobile video telephony.Read moreRead less
Distributed Estimation and Control under Communication Constraints. Sensor networks will be an important technology for Australia's future. Applications range from monitoring water quality to controlling complex defence systems. This project will lead to a better understanding of the fundamental limits of wireless sensor networks. Above and beyond the creation of new theory and algorithms, the national and community benefits will include: (i) enhancement of Australia's reputation for innovative ....Distributed Estimation and Control under Communication Constraints. Sensor networks will be an important technology for Australia's future. Applications range from monitoring water quality to controlling complex defence systems. This project will lead to a better understanding of the fundamental limits of wireless sensor networks. Above and beyond the creation of new theory and algorithms, the national and community benefits will include: (i) enhancement of Australia's reputation for innovative Engineering research through quality publications and international collaborations; and (ii) improvement of the research and development capability in the information and communications technology sector through high level training of postgraduate students and postdoctoral fellows in this important technology.Read moreRead less
A Study of Stabilisation and Optimal Control Computation of Impulsive Control Systems. Impulsive systems exhibit the phenomenon of jumps occurring at various time points along their trajectories. They arise from many applications, such as determining appropriate levels of drug administration in cancer and diabetes treatment, optimizing investment strategies in capacity expansion, and sustainable optimal forest management. This project will result in fundamental theory on stability and efficient ....A Study of Stabilisation and Optimal Control Computation of Impulsive Control Systems. Impulsive systems exhibit the phenomenon of jumps occurring at various time points along their trajectories. They arise from many applications, such as determining appropriate levels of drug administration in cancer and diabetes treatment, optimizing investment strategies in capacity expansion, and sustainable optimal forest management. This project will result in fundamental theory on stability and efficient computational algorithms and software packages for stabilizing controls and optimal controls of impulsive control problems. The outcomes will enhance Australia's reputation for leading edge research and facilitate opportunity for international collaboration. It will also provide an excellent opportunity for research training.Read moreRead less
Multiscale Singularly Perturbed Control Systems. We propose to develop a unified averaging technique to analyse deterministic and stochastic multiscale singularly perturbed control systems. Such systems arise as mathematical models of real-world dynamical systems in which state variables can change their values with the rates of different orders of magnitude. The technique is based on the assumption that the system, which would describe the dynamics of the fast state variables if slow ones were ....Multiscale Singularly Perturbed Control Systems. We propose to develop a unified averaging technique to analyse deterministic and stochastic multiscale singularly perturbed control systems. Such systems arise as mathematical models of real-world dynamical systems in which state variables can change their values with the rates of different orders of magnitude. The technique is based on the assumption that the system, which would describe the dynamics of the fast state variables if slow ones were frozen, possesses certain ergodicity properties expressed in the existence of its limit occupational measures set. Conditions for the existence of such a set will be studied and its structure will be described.Read moreRead less
Singular and Analytic Perturbations, Slow and Fast Time Scales in Control Theory and Viability Theory and their Applications. We propose an innovative approach to several important classes of mathematical problems, whose data depend analytically on small perturbation parameters. Time scale problems, and, in particular, the interaction of two types of evolution, slow and fast, arise in many scientific domains (biotechnology, physics, engineering, etc).We expect to develop new techniques for analy ....Singular and Analytic Perturbations, Slow and Fast Time Scales in Control Theory and Viability Theory and their Applications. We propose an innovative approach to several important classes of mathematical problems, whose data depend analytically on small perturbation parameters. Time scale problems, and, in particular, the interaction of two types of evolution, slow and fast, arise in many scientific domains (biotechnology, physics, engineering, etc).We expect to develop new techniques for analysis and asymptotic optimisation of singularly perturbed control systems and Markov decision processes. In particular, we plan to establish links between general nonlinear optimal control problems with time average criteria and linear programming problems in the space of limit occupational measures generated by the underlying control system.Read moreRead less
Advanced Space-Time Coded Multiuser Wireless Communications via Test-bed Development. Meeting the global demand for mobile and wireless communications depends critically on reliable and high rate data transfer. Unfortunately, communications medium idiosyncrasies pose formidable challenges. Very recently, in combatting this, major breakthroughs have been achieved whereby the use of multiple antennas allows for drastic data-rate increases. These advances use sophisticated Space-Time coding metho ....Advanced Space-Time Coded Multiuser Wireless Communications via Test-bed Development. Meeting the global demand for mobile and wireless communications depends critically on reliable and high rate data transfer. Unfortunately, communications medium idiosyncrasies pose formidable challenges. Very recently, in combatting this, major breakthroughs have been achieved whereby the use of multiple antennas allows for drastic data-rate increases. These advances use sophisticated Space-Time coding methods, and while they are causing great excitement in terms of their simulation performance, it is not clear how they will perform in practice, or in fact how they are to be realistically implemented. This project will address this issue by building a world-first testbed that implements a high rate wireless communications system using Space-Time and other coding methods.Read moreRead less
Advanced Sweep-Line State Space Reduction Methods for Verification of Concurrent and Distributed Systems. The rigorous design and analysis of distributed systems, such as the Internet and its applications, is known to be a difficult problem. This project will develop new techniques for reducing the memory and time required for computer-aided verification of concurrent and distributed systems. The technique will be combined with other reduction techniques to increase their range of applicability. ....Advanced Sweep-Line State Space Reduction Methods for Verification of Concurrent and Distributed Systems. The rigorous design and analysis of distributed systems, such as the Internet and its applications, is known to be a difficult problem. This project will develop new techniques for reducing the memory and time required for computer-aided verification of concurrent and distributed systems. The technique will be combined with other reduction techniques to increase their range of applicability. The reduction techniques will be implemented and evaluated using important transaction protocols for electronic commerce and internet enabled wireless communications. The technique will also be applied to so called 'object-oriented' modelling languages.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