Network Control Systems

Project 1: Control of Networked Multi-agent Systems

Funding Information: Australian Research Council, Discovery Grant, 2011-2013, sole Cheif Investigator.

Project Summary: Networking technologies are widely used nowadays for data communications and information exchange. When applied to multi-agent systems involving human users, physical systems and environments, they offer great collective behaviours and cooperative interactions among agents. Applications of networked multiagent systems include smart electricity grids, transportation networks, networked security systems, environmental minotoring networks and hospital resource schedulers. This project will offer advanced modeling and control techniques for networked multi-agent systems and gain fundamental understanding on how network, information, communication and control technologies can be effectively integrated for optimal performances of such systems.

Project 2: Design of quantized feedback for robust control systems

Funding Information: Australian Research Council, Discovery Grant, 2008-2010, sole Chief Investigator.

Project Summary: Modern control systems are mostly implemented digitally. Recent advances see more and more control systems operating over communications networks. This project aims to develop new design technologies for this type of systems. Unlike some of the recent work in this area where the focus was on purely theoretical issues such as the minimum information rate for feedback control, we will emphasize on practical implementation and robustness of the control design. The expected outcomes include new control design algorithms, simple controller structures, new error protection techniques and specially designed hardware for implementations. These results will make the control theory more applicable to modern industrial control and automation.

Project 3: Interplay of feedback control and digital communications

Funding Information: Australian Research Council, Discovery Grant, 2006-2008, Chief Investigators: Fu and Schreier.

Project Summary: This project conducts interdisciplinary research in two important areas of control and digital communications. In the first area, we consider the control of dynamical systems using feedback communication links. Our research is expected to produce reliable and practical design methods for network-based control and automation. In the second area, we apply systems and control theory to stochastic modelling, analysis, and feedback control design of iterative algorithms. Iterative algorithms are a powerful class of decoding and detection systems in digital communications. Our research will produce a new theoretical foundation for these systems and provide faster iterative algorithms for digital communications.