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Efficient Stochastic Model Predictive Control based on Polynomial Chaos Expansions for Embedded Applications

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Kögel,  Markus
Otto-von-Guericke-Universität Magdeburg, External Organizations;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Lucia, S., Zometa, P., Kögel, M., & Findeisen, R. (2015). Efficient Stochastic Model Predictive Control based on Polynomial Chaos Expansions for Embedded Applications. In 2015 IEEE 54th Annual Conference on Decision and Control (CDC) (pp. 3006-3012).


Cite as: https://hdl.handle.net/21.11116/0000-0000-F21A-2
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