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I introduce a new technique for directly designing control algorithms starting from input-output data collected in a “one-shot” low-complexity experiment performed on the system to control and without requiring any identification step. I show that such design boils down to the solution of data-dependent linear matrix inequalities and semi-definite programs, which can be very efficiently solved.



Claudio De Persis is a professor of automatic control with the Engineering and Technology Institute and the J.C. Willems Center for Systems and Control, University of Groningen, the Netherlands. He received his PhD degree in Systems and Control from the University of Rome “la Sapienza”, Italy in 2000. Before joining the University of Groningen in 2011, he held various academic positions at Washington University in St. Louis, Yale University, the University of Rome “la Sapienza” and the University of Twente. His research interests are in control theory and its applications.

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