In this chapter, we present the scenario approach, an innovative technology for solving convex optimization problems with an infinite number of constraints. This technology relies on random sampling of constraints, and provides a powerful means for solving a variety of design problems in systems and control. Specifically, the virtues of this approach are here illustrated by focusing on optimal control design in presence of input saturation constraints. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Prandini, M., Campi, M. C., & Garatti, S. (2007). Controller design through random sampling: An example. Lecture Notes in Control and Information Sciences, 353, 201–212. https://doi.org/10.1007/978-3-540-70701-1_11
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