Control
Control is the technology for ensuring best process performance with
regard to operating constraints.
The department has been involved with mathematical
modelling, adaptive and robust control. Applications have been in
bio-engineering, power systems, paper manufacturing and steel mills.
Current interests are in robust control, robotics and in developing
Neural Nets for modelling and controlling complex systems, and in
industrial automation.
The Faculty
Control Group brings together people involved in work in this
area.
Facilities
Control Systems Laboratory
This laboratory is equipped with the latest
state-of-the-art equipment in the area of fieldbus and industrial
automation training, including panels with PLC's, variable-speed
drives, human-machine interface all networked via field bus. Facilities
for recording analogue and digital data from operating plant are
available. Matlab and other computer-aided design packages are
available for the identification and control of dynamic systems.
Staff Research Interests
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Assoc Prof Hamid Abachi
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Simulation and modelling of parallel processing,
multiprocessor system design, advanced computer architectures, and
microprocessor based control systems.
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Dr. Kishor Dabke
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Artificial intelligence and expert systems in
engineering, control systems, nonlinear systems.
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Current and proposed projects
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Joint research with Siemens in topics revolving
around industrial automation
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Fieldbus systems and
soft-logic PLC's.
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Faculty Control Group
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Vision-based control
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M Liu
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Robot control
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M Liu
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Fault detection, re-configuration control, and
optimisation of telecommunications networks.
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J Ginger, K P Dabke & L H Campbell.
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Non-linear systems
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M Liu
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