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MPC for Deeply Pipelined FPGA Implementation

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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.

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