Design of Quantized Feedback for Robust Control Systems. Most modern machineries and industrial processes are manipulated using advanced control technologies. With the recent advances in information technology, more and more control systems operate over communications networks. However, the technologies used in these control systems are seriously lagging behind because they make little assumptions about problems in digital communications. These problems include sampling errors, quantization erro ....Design of Quantized Feedback for Robust Control Systems. Most modern machineries and industrial processes are manipulated using advanced control technologies. With the recent advances in information technology, more and more control systems operate over communications networks. However, the technologies used in these control systems are seriously lagging behind because they make little assumptions about problems in digital communications. These problems include sampling errors, quantization errors, transmission errors and transmission delays. The proposed research will develop a new control theory to address this issue. Our work will help Australia maintain a leading role in the area of control and give the Australian industry advantages in applying modern technologies in control and automation.Read moreRead less
Advancing System Identification using Modern Optimisation Methods. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified ....New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified area of "Smart Information Use", but has further
potential to foster new approaches and new technologies, by way of the
improved system modelling, prediction and diagnosis capabilities it will provide.Read moreRead less
New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for a ....New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for accurate model generation with attendant benefits of more efficient and higher performance operation of many engineering systems.Read moreRead less
Monitoring and Control of Complex Power Systems via Robust Control of Jump Parameter Systems. The project will involve research on a robust state estimation and control theory of systems with uncertain and random structure. This theory will be applied to develop new tools for dynamic voltage stability analysis and control of complex power systems by taking into account discrete switching of devices comprising the system. The theory will address both performance and robustness of power systems ag ....Monitoring and Control of Complex Power Systems via Robust Control of Jump Parameter Systems. The project will involve research on a robust state estimation and control theory of systems with uncertain and random structure. This theory will be applied to develop new tools for dynamic voltage stability analysis and control of complex power systems by taking into account discrete switching of devices comprising the system. The theory will address both performance and robustness of power systems against variety of uncertainties including those due to modelling errors associated with uncertain nature of discrete switching and nonlinearity of underlying power generation system models.Read moreRead less
Analysis and Design of Networked Control Systems. Rapid advances in communications technology have opened up the possibility of large scale control systems in which the control task is distributed among several processors and the communication between the processors, sensors and actuators is via communication channels. This enables control systems to be distributed over large distances and to use large numbers of actuators and sensors. This project will be directed towards the development of a t ....Analysis and Design of Networked Control Systems. Rapid advances in communications technology have opened up the possibility of large scale control systems in which the control task is distributed among several processors and the communication between the processors, sensors and actuators is via communication channels. This enables control systems to be distributed over large distances and to use large numbers of actuators and sensors. This project will be directed towards the development of a theory of networked control systems in which control and communication issues are combined together, and all the limitations of the communication channels are taken into account.Read moreRead less
Uncertain Systems Theory applied to Nonlinear Robust Control and Filtering. Feedback control systems are becoming increasingly important in manufacturing industry, the automotive industry, defence applications as well as in many non-industrial applications such as the management of the environment or the economy. By developing new techniques for the design of high performance robust nonlinear controllers and filters which are widely applicable in industrial applications, this project will help m ....Uncertain Systems Theory applied to Nonlinear Robust Control and Filtering. Feedback control systems are becoming increasingly important in manufacturing industry, the automotive industry, defence applications as well as in many non-industrial applications such as the management of the environment or the economy. By developing new techniques for the design of high performance robust nonlinear controllers and filters which are widely applicable in industrial applications, this project will help make existing industrial technologies more efficient and make new industrial technologies feasible. Moreover, the research training carried out in the project will add to available a pool of experts in the areas of robust nonlinear control and filtering. Read moreRead less
Robust Dynamical System Identification. Innovative robust system identification methods are a Frontier Technology for Transforming Australian Industries. Robust system identification will provide a technology for generating high fidelity models by the use of breakthrough science. With the majority of advanced industrial control systems reliant on accurate models significant savings could be made due to the implicit improvement in process control. Furthermore, system identification is a key enabl ....Robust Dynamical System Identification. Innovative robust system identification methods are a Frontier Technology for Transforming Australian Industries. Robust system identification will provide a technology for generating high fidelity models by the use of breakthrough science. With the majority of advanced industrial control systems reliant on accurate models significant savings could be made due to the implicit improvement in process control. Furthermore, system identification is a key enabling technology in most modern systems (e.g. in aerospace, manufacturing, mining, minerals processing and telecommunications) and is also important in the emerging areas of nanotechnology and systems biology.Read moreRead less
New System Identification Techniques Utilising Misspecified Models. National benefits of the proposed research project will result from improvements in control due to a better, more complete understanding of the models obtained by the newly proposed system identification technique. The resulting effect on industrial practice will be an increase in efficiency, by reduced waste, lower pollution levels and increased throughput. Also, the techniques developed will be directly applicable to current r ....New System Identification Techniques Utilising Misspecified Models. National benefits of the proposed research project will result from improvements in control due to a better, more complete understanding of the models obtained by the newly proposed system identification technique. The resulting effect on industrial practice will be an increase in efficiency, by reduced waste, lower pollution levels and increased throughput. Also, the techniques developed will be directly applicable to current research in the areas of complex systems, such as smart structures and biological studies of the dynamic effects of drugs and hormones on genes.Read moreRead less
Robust Experiment Design for Dynamical System Identification. Innovative and new robust experiment design methodologies are a Frontier Technology for Transforming Australian Industries. By providing a solid foundation for generating high fidelity models, robust experiment design will, by the use of breakthrough science, facilitate the estimation of models in minimum time. Also, this will entail minimal disruption to the normal operation of the process under study. With the majority of advanced ....Robust Experiment Design for Dynamical System Identification. Innovative and new robust experiment design methodologies are a Frontier Technology for Transforming Australian Industries. By providing a solid foundation for generating high fidelity models, robust experiment design will, by the use of breakthrough science, facilitate the estimation of models in minimum time. Also, this will entail minimal disruption to the normal operation of the process under study. With the majority of advanced industrial process control systems reliant on accurate models significant savings could also be made due to the implicit improvement in process control.Read moreRead less