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• W2575862747 abstract "While by now efficient formulations and tailored solution approaches for nominal model predictive control exist, results for the uncertain case on embedded systems are less common. We consider stochastic model predictive control based on a polynomial chaos expansion formulation. We describe a tailored structure-exploiting solution approach for the resulting second-order cone program. We outline techniques that improve the approach's numerical reliability on embedded hardware with low numerical precision. The efficiency and performance of the approach is experimentally validated on a microcontroller." @default.
• W2575862747 created "2017-01-26" @default.
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• W2575862747 date "2016-06-01" @default.
• W2575862747 modified "2023-09-26" @default.
• W2575862747 title "Efficient stochastic model predictive control for embedded systems based on second-order cone programs" @default.
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• W2575862747 doi "https://doi.org/10.1109/ecc.2016.7810281" @default.
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