In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.
Abstract: State-space models (SSMs) are a powerful statistical tool for modelling time-varying systems via a latent state. In these models, the latent state is never directly observed. Instead, a ...
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