Computer Process Control Group

We develop fundamental methods in modelling, optimisation and control, and translate them into complex industrial and emerging engineering systems.

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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
Vanadium batteries

Intelligent long duration energy storage

Advanced modelling and control of vanadium flow batteries, from battery operation to distributed energy shystems and grid integration.
Smelting chambers

Flexible green aluminium production

Advanced sensing, distributed control and flexible power operation for aluminium reduction cells, turning large industrial processes into flexible energy assets that can respond to renewable generation and electricity-system needs.
Trucks line up to take loads of coal in an open cut mine

Advanced minerals processing

Model-based and predictive control for difficult processing operations such as paste thickeners in coal preparation.
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Research with impact
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Competitive research funding

$18M+
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ARC Discovery Projects / Large Grants

13+
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ARC Industry Research Hub projects

5+

Industry & research collaborations

We work with industry, research organisations and major collaborative programs to advance fundamental and applied process control.

Industry collaborators

Research hubs, institutes & programs

Contact

Prof. Jie Bao

Room 301
Science and Engineering Building (E8)
UNSW Sydney NSW 2033
Australia

Phone: +61 (02) 9385 6755
Email Prof. Bao