MPC for Deeply Pipelined FPGA Implementation

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• Juan (Imperial College London)
• Tuesday 24 August 2010, 15:30-16:30
• Level 9 Mahanakorn Lab., EE Dept..

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

Model predictive control (MPC) is an optimization-based scheme that imposes a real-time constraint on computing the solution of a quadratic programming (QP) problem. The implementation of MPC in fast systems, which add the requirement of greater sampling frequencies, presents new technological challenges. In this talk we present results for a parametric design of a QP solver for linear MPC , and show that the proposed design can achieve substantial acceleration over general purpose microprocessor implementation. We then introduce a new MPC formulation that aims to exploit the design’s high throughput to increase the quality of the control action.

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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