Adaptive state space representations enabling reliable and robust decision-making in asynchronous drives for mechatronic applications

Abstract

In contemporary mechatronic applications decision-making is often based on information about the underlying model governing the dynamical evolution, in order to ensure optimal operation with respect to a prioritized objective. Modeling errors stemming from parameter uncertainty or varying operational conditions result in inevitable deviations from the… (More)
DOI: 10.1109/AIM.2017.8014231

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