Plantwide Control of Modern Chemical Processes from a Network Perspective. Complex plants increasingly appear in modern Australian process industries, particularly in mineral processing, petrochemical and renewable energies sectors. These plants represent vast capital costs and manufacture products at a very large scale. Improvement in control and operation of these processes can potentially provide significant economic benefits. The expected outcome of this research is an effective approach to ....Plantwide Control of Modern Chemical Processes from a Network Perspective. Complex plants increasingly appear in modern Australian process industries, particularly in mineral processing, petrochemical and renewable energies sectors. These plants represent vast capital costs and manufacture products at a very large scale. Improvement in control and operation of these processes can potentially provide significant economic benefits. The expected outcome of this research is an effective approach to improve operational safety, efficiency, product quality and manufacturing flexibility, helping to build a more efficient and environmental conscious Australian chemical industry. This project will also enhance Australia's scientific reputation in the frontier research area of advanced process control and management.Read moreRead less
Designing an Intelligent Process Operation Management System. The complexity and sophistication of current generation of industrial processes, and the growing need for autonomous agents that control physical systems, motivate the need for the development of an intelligent process operation management system. In this project, the innovative integration of theories from different scientific fields (computer systems, process engineering, systems and control engineering) provides an excellent platfo ....Designing an Intelligent Process Operation Management System. The complexity and sophistication of current generation of industrial processes, and the growing need for autonomous agents that control physical systems, motivate the need for the development of an intelligent process operation management system. In this project, the innovative integration of theories from different scientific fields (computer systems, process engineering, systems and control engineering) provides an excellent platform for development of a smart data management tool, to oversee the major operational tasks within the plant and help the operators and engineers to make more informed decisions. Direct application of the techniques developed in this study to a pilot case study, could be used as a benchmark to show the potential benefits that can be gained through smart information use and data management.Read moreRead less
Linear programming approach to nonlinear deterministic and stochastic control problems: perturbations methods and numerical analysis. The proposed research will significantly advance knowledge by creating new analytical and numerical methods for tackling complex nonlinear control problems arising in many applications. The study's outputs will lead to a deeper understanding of fundamental issues in mathematical modelling. Collaboration with renowned researchers will further improve Australia's st ....Linear programming approach to nonlinear deterministic and stochastic control problems: perturbations methods and numerical analysis. The proposed research will significantly advance knowledge by creating new analytical and numerical methods for tackling complex nonlinear control problems arising in many applications. The study's outputs will lead to a deeper understanding of fundamental issues in mathematical modelling. Collaboration with renowned researchers will further improve Australia's standing in the international research community. Also their visits may further promote research both within and outside the host institution. In particular, lectures and seminars that they will deliver will be transmitted to Australian universities participating in the Access Grid Room Project.Read moreRead less
Dynamic risk measures. Exposure to risk is a pervasive problem. The results will be of importance for financial institutions when they estimate their exposure to risk. Other applications will be to determine the level of risk from a terrorist attack or regional instability. Companies wish to allocate resources to minimize their exposure to adverse events.