Activating Lyapunov-Based Feedback - Nonsmooth Control Lyapunov Functions. This project aims to provide a novel high-performance feedback control design methodology, applicable in a wide range of areas from power to aerospace to biological systems. A general approach of feedback design based on so-called Lyapunov methods has been available for many years. However, this approach has suffered from several drawbacks including the inability to account for constrained system actions (eg where certain ....Activating Lyapunov-Based Feedback - Nonsmooth Control Lyapunov Functions. This project aims to provide a novel high-performance feedback control design methodology, applicable in a wide range of areas from power to aerospace to biological systems. A general approach of feedback design based on so-called Lyapunov methods has been available for many years. However, this approach has suffered from several drawbacks including the inability to account for constrained system actions (eg where certain system variables must remain within certain constraints) and the inability to specify desired system performance. This project intends to leverage recent developments in Lyapunov methods, including novel numerical techniques, to develop a high-performance feedback control methodology for nonlinear dynamical systems competitive with the best currently available techniques.Read moreRead less
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less
Dissipativity based distributed model predictive control for complex industrial processes. This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.
Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault ....Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plant-wide processes. It aims to capture the key dynamic features of normal and abnormal processes by their dissipativity properties, and to use these to develop an efficient online fault diagnosis approach based on process input and output trajectories.Read moreRead less