2010 IEEE International Conference on Control Applications 2010
DOI: 10.1109/cca.2010.5611241
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Nonlinear Model Predictive Control considering stochastic and systematic uncertainties with sets of densities

Abstract: Abstract-In Model Predictive Control, the quality of control is highly dependent upon the model of the system under control. Therefore, a precise deterministic model is desirable. However, in real-world applications, modeling accuracy is typically limited and systems are generally affected by disturbances. Hence, it is important to systematically consider these uncertainties and to model them correctly. In this paper, we present a novel Nonlinear Model Predictive Control method for systems affected by two diff… Show more

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