Hardware design of MPC controllers

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• Juan (Imperial College London)
• Monday 25 January 2010, 15:00-16:00
• Level 9 Mahanakorn Lab., EE Dept..

If you have a question about this talk, please contact George A Constantinides.

Model predictive control is chosen in the process industries due to its ability to handle physical constraints. Its applicability to processes with faster dynamics relies on the possibility of solving a quadratic programming optimization problem in real-time. FPG As are a promising platform for accelerating the computation of these problems, which should help to extend the application of MPC . In this talk, we discuss the issues that arise when creating a parametrizable design of a MPC controller. A custom architecture is proposed for the efficient computation of a large set of problems. Finally, this work is put into the context of a design automation tool.

This talk is part of the CAS Talks series.

This talk is included in these lists:

• Andrea Picciau's list
• CAS Talks
• Circuits and Systems Group: Internal Seminars
• Level 9 Mahanakorn Lab., EE Dept.

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