What industry thinks about us
Industry knows that the quality of education received by our students is excellent, and because of this, our students are in great demand.
Jaguar Land Rover
"I know as a graduate from ACSE, that the department offers the highest standard of quality teaching and expertise in Control and Systems Engineering. More specifically to my area of work, subjects such as Real Time Systems Design, Advanced Control and System Identification are extremely applicable within the automotive industry and provide skill sets that I would be looking for from potential graduates."
Will Suart, Technical Specialist in Model Based Systems Engineering, Product Development.
TRW Conekt
"TRW Conekt provides engineering and consultancy services to TRW Automotive, niche automotive, aerospace and commercial vehicle customers, and is an example of a business that applies the Engineering skills and disciplines as taught and researched at ACSE.
Our Control Group delivers optimal performance of Sensing and Actuation Systems using multi-variable, multi-objective, dynamic, non-linear, robust control techniques. We use PID tuning and optimization, pole placement, H-Infinity, sensor-less observers, robust control, fault detection and data fusion in our work. Matlab, Simulink and dSpace are used every day. Our Systems Engineering and Safety Group provides product requirements capture, safety and fault tree analysis, hazard analysis, FMEA leadership and automation tools, full safety case preparation and safety management services.
Many business sectors can benefit from the approach of Systems Engineering and I fully endorse the ACSE Prospectus."
Rob Miller, Manager, Systems, Sensing & Software Group, TRW Conekt.
Corus Research, Development and Technology
"Systems Engineering techniques taught in the ACSE department are widely applicable to many problems in the steel industry covering the full range of our processes, from coke-, iron- and steel-making, though reheating, hot and cold rolling, and the finishing processes. As an example consider the reheating furnace control problem:
- Modelling from first principles, based on process physics, e.g. partial differential equations that describe heat transfer between the furnace and the steel
- Deploying mathematical techniques to solve the model, e.g. linear algebra implementation of Finite Difference solver in MATLAB
- Programming and software engineering, e.g. prototyping using MATLAB off-line, and C++ for on-line control
- Developing advanced control strategies - we are currently researching the application of Model Based Predictive Control to the problem simulation, e.g. using tools such as Simulink
- Interfacing between process controllers, industrial instrumentations systems, subordinate controllers and plant wide controllers in a world of fast changing industrial IT, to lead to a successful industrial implementation
- Live information handling using database technology, and on- and off-line analysis techniques to give an insight into process control performance, equipment condition and reliability, environmental performance and new improvement opportunities."
Julian Thorp, Principal Development Engineer
Dr. Jon Broughton, Development Engineer