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Fast Model Predictive Control


M. Morari

The Purdue Oldenburger Technical Lecture, Purdue University, 30 September

In the 1980s Model Predictive Control (MPC) became the algorithm of choice in the process industries for demanding multi-variable applications involving constraints. Today's vastly more powerful computational resources and a series of new algorithms have made these tools suitable for problems of essentially any size and time scale. I will describe the road taken and illustrate the effectiveness with industrial examples from the automotive and power electronics domains and the industrial energy sector. In the final part of the lecture I will suggest topics for future research.


Type of Publication:

(05)Plenary/Invited/Honorary Lecture

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