Measurement Feedback Control of Nonlinear and Quantum Systems. The purpose of control systems is to regulate the behaviour of a diverse range of engineering systems including those found in aerospace, manufacturing and telecommunications, as well as in important emerging fields including quantum technology. The aim of this project is to develop measurement feedback design methodologies for systems modelled by nonlinear or quantum dynamics. The project is motivated by the need for systematic meth ....Measurement Feedback Control of Nonlinear and Quantum Systems. The purpose of control systems is to regulate the behaviour of a diverse range of engineering systems including those found in aerospace, manufacturing and telecommunications, as well as in important emerging fields including quantum technology. The aim of this project is to develop measurement feedback design methodologies for systems modelled by nonlinear or quantum dynamics. The project is motivated by the need for systematic methods for robust control system design. A central issue concerns suitable representation and use of measurement information for feedback control.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
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
Robust State Estimation of Complex Multi-Object Systems. Conceptual advances will be made in the area of robust state estimation of complex systems. New design rules will be developed and published in the top international journals and major international conferences. The main benefit of this project will be its direct applications to industrial control problems in the military equipment and manufacturing industries, bio-engineering, and automobile industry. We also build a world class research ....Robust State Estimation of Complex Multi-Object Systems. Conceptual advances will be made in the area of robust state estimation of complex systems. New design rules will be developed and published in the top international journals and major international conferences. The main benefit of this project will be its direct applications to industrial control problems in the military equipment and manufacturing industries, bio-engineering, and automobile industry. We also build a world class research group at the University of New South Wales to focus attention on multi-object state estimation. There will be increased capacity for contract research, international collaboration with leading researchers in the area and high quality Ph.D. graduates in the field of Systems and Control.Read moreRead less
Feedback entropy in dynamical systems. This project aims to use the fundamental concept of entropy to help evaluate the decision-making effort in a variety of feedback control systems in science and engineering. This understanding will help develop smarter technologies and algorithms in areas such as manufacturing, vehicular technology and automated irrigation.
Nonstochastic information flows in networked dynamical systems. Feedback control is a crucial element of manufacturing, vehicular and energy systems, and is needed to guarantee hard performance bounds in safety- and mission-critical environments. When these control systems are implemented over communication networks, the amount of information flowing through them becomes a critical determinant of performance. However, the nonprobabilistic control objectives make standard information theory inapp ....Nonstochastic information flows in networked dynamical systems. Feedback control is a crucial element of manufacturing, vehicular and energy systems, and is needed to guarantee hard performance bounds in safety- and mission-critical environments. When these control systems are implemented over communication networks, the amount of information flowing through them becomes a critical determinant of performance. However, the nonprobabilistic control objectives make standard information theory inapplicable. This project aims to develop a novel, nonstochastic theory of information in order to analyse and design networked dynamical systems that obey worst-case performance limits. This will yield robust, probability-free algorithms for distributed control, filtering and causality inference.Read moreRead less
Analysis and design of control systems with saturation and time-delay. Control engineering is an enabling technology without which most modern engineering systems, such as aircrafts or Internet, can not operate properly. Actuator saturation and time-delays are undesirable phenomena that often arise in control systems leading to poor performance and sometimes instability. For example, both of these phenomena arise in control of modern telecommunication systems, such as Active Queue Management in ....Analysis and design of control systems with saturation and time-delay. Control engineering is an enabling technology without which most modern engineering systems, such as aircrafts or Internet, can not operate properly. Actuator saturation and time-delays are undesirable phenomena that often arise in control systems leading to poor performance and sometimes instability. For example, both of these phenomena arise in control of modern telecommunication systems, such as Active Queue Management in TCP networks. The project aims at tackling these phenomena by using recently developed techniques in antiwindup for saturating actuators and by revisiting some classical methods for Smith predictor design for time-delayed systems.Read moreRead less
Robust estimation of cardiac output and oxygen consumption from simple non-invasive physiological variables. We aim to develop robust mathematical and physiological models to estimate cardiac output and oxygen consumption of an exercising individual from simple non-invasive physiological parameters such as heart rate, respiration, body temperature and body movement (using multiple triaxial accelerometers).
The models developed will provide a better understanding of the human cardiovascular s ....Robust estimation of cardiac output and oxygen consumption from simple non-invasive physiological variables. We aim to develop robust mathematical and physiological models to estimate cardiac output and oxygen consumption of an exercising individual from simple non-invasive physiological parameters such as heart rate, respiration, body temperature and body movement (using multiple triaxial accelerometers).
The models developed will provide a better understanding of the human cardiovascular system response to exercise, and could be incorporated as part of a closed loop control system for cardiac pacemakers and/or heart assist devices.
Outcomes will include increased scientific knowledge, new robust models of the exercising cardiovascular /respiratory / thermoregulatory system and advanced biomedical instrumentation.
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Decentralized Control Problems for Networked Systems. The conceptual advances to be made in the area decentralized control of networked systems.
New design rules for decentralized control in networked systems will be developed and published in the top international journals and major international conferences.
Also, a contribution of the project will be to produce high quality Ph.D. graduates in this area of control theory.
Analysis and Design of Networked Control Systems. Drive-by-wire cars, fly-by-wire aircraft and sensor/actuator wireless networks in process and manufacturing industries are just a few examples of emerging networked control technologies that are currently reshaping our world. These technological advances have a vast potential to reduce the cost, weight and volume of engineered systems, simplify their maintenance and installation and their novel architectures and features may enable us to address ....Analysis and Design of Networked Control Systems. Drive-by-wire cars, fly-by-wire aircraft and sensor/actuator wireless networks in process and manufacturing industries are just a few examples of emerging networked control technologies that are currently reshaping our world. These technological advances have a vast potential to reduce the cost, weight and volume of engineered systems, simplify their maintenance and installation and their novel architectures and features may enable us to address significant environmental and socio-economic challenges, such as an increased demand for energy and other limited resources. This project will develop a systematic design methodology for networked control systems that will be essential in ensuring that its full potential is exploited.Read moreRead less