Advancing the science and applications of process control.
We develop fundamental methods in modelling, optimisation and control, and translate them into complex industrial and emerging engineering systems.
From control theory to real-world systems
Fundamental methods for understanding and controlling complex dynamic systems
Dissipativity | Behavioural systems | Nonlinear control | Fault-tolerant control
Combining process knowledge, optimisation and data to enable smarter, more autonomous systems
Big-data control | Distributed MPC | Economic MPC | Collective dynamics
Translating control theory into technologies for energy-intensive and emerging industrial systems
Aluminium smelting | Flow batteries | Energy systems | Coal processing | Water treatment
Research with impact
Competitive research funding
ARC Diccovery Projects/Large Grants
ARC Industry Research Hub projects
Industry & research collaborations
We work with industry, research organisations and major collaborative programs to advance fundamental and applied process control.
Industry collaborators