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
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
Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communicat ....Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communications aspects. We also build a core expertise in optimisation and its applications in Australia by training PhD students and Postdoctoral researchers. The research collaborations will cement and maintain the international linkages which will improve applied research in AustraliaRead moreRead less
Model-Reduction Techniques for Control, Communication and Circuits. Model reduction is an important area of study in the analysis and design of dynamical systems. Its objective is to obtain a low-order model given a high-order system model such that the low-order model closely approximates the input-output behaviour of the original high-order system. Although theory and application of model reduction is well developed, there are many unresolved issues such as efficient model reduction techniq ....Model-Reduction Techniques for Control, Communication and Circuits. Model reduction is an important area of study in the analysis and design of dynamical systems. Its objective is to obtain a low-order model given a high-order system model such that the low-order model closely approximates the input-output behaviour of the original high-order system. Although theory and application of model reduction is well developed, there are many unresolved issues such as efficient model reduction techniques for large-scale circuit simulation and communication applications, frequency-weighted model reduction techniques for controller-design applications, and error bounds for the reduction techniques. The project aims to address these issues.Read moreRead less
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 Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multi ....Analysis and Design of Multi-objective Optimal Multirate Filter Banks. Multirate filter banks are a fundamental subsystem and play a key role in many applications in information technology, such as digital communications and digital audio and video signal processing. Most of the existing design methods of multirate filter banks are based on idealized operation conditions, so often they do not provide practically desirable performance. This project will develop innovative design methods for multirate filter banks under the worst operational conditions and multiple conflicting design objectives. The results will fill in the gap between the theoretical design and the practical requirements to provide enhanced performance of systems using multirate filter banks.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
Tools for analysis and controller design for nonlinear systems with disturbances. Control engineers often need to deal with nonlinear systems with disturbances (NSD). Analysis and controller design for NSD requires the use of a range of different tools including singular perturbations, averaging, slowly varying systems methods and large scale systems methods. However, often these tools are inadequate as they are only applicable to systems without disturbances. We propose to extend these tools to ....Tools for analysis and controller design for nonlinear systems with disturbances. Control engineers often need to deal with nonlinear systems with disturbances (NSD). Analysis and controller design for NSD requires the use of a range of different tools including singular perturbations, averaging, slowly varying systems methods and large scale systems methods. However, often these tools are inadequate as they are only applicable to systems without disturbances. We propose to extend these tools to NSD and apply them to a range of problems arising in analysis and controller design for NSD. These applications include vibrational control, gain scheduling, H-infinity control and adaptive control.Read moreRead less
Safe Adaptive Control. Adaptive controllers are intelligent controllers, which can redesign themselves as they learn more about the environment. There are many algorithms for adaptive controllers; some of them can cause unacceptable behaviour during the learning process. Safe adaptive controllers are those for which this behaviour is ruled out. This project is concerned with developing procedures for guaranteeing the safety property in a wide variety of situations.
Numerical Algorithms for Solving Convex Optimization Problems Arising in Systems and Control Theory. The need to optimize occurs frequently in engineering applications. Typically one has a set of constraints specifying what solutions are allowable or meet design specifications and one would like to choose from these allowable solutions one which is optimal with respect to some meaningful metric. Such optimization problems tend to be rather complicated and must be solved numerically. This project ....Numerical Algorithms for Solving Convex Optimization Problems Arising in Systems and Control Theory. The need to optimize occurs frequently in engineering applications. Typically one has a set of constraints specifying what solutions are allowable or meet design specifications and one would like to choose from these allowable solutions one which is optimal with respect to some meaningful metric. Such optimization problems tend to be rather complicated and must be solved numerically. This project is concerned with creating improved numerical algorithms for solving particular important classes of optimization problems that arise in systems and control theory.Read moreRead less