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pro vyhledávání: '"Lukas Kohrer"'
Publikováno v:
ITSC
Learning model predictive control (LMPC) is able to iteratively improve its performance while satisfying system constraints by learning from past data. In this work, we present an LMPC strategy for iterative tasks that extends previous approaches for
Publikováno v:
ICCAIS
During the modelling of technical systems, the developer of the model is always faced with uncertain quantities due to non-ideal measurement devices. In contrast to classical stochastical approaches to handle these uncertainties, guaranteed approache
Publikováno v:
8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016).
Many types of models have been developed for the voltage source inverter taking into account non-ideal effects, such as voltage drops over the semiconductors, non-ideal switching characteristics and turn-on delay times. However, uncertainties caused