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This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

Abstract: Data-driven control (DDC), that is the design of controllers directly from observed data, has attracted substantial attention in recent years due to its advantages over model-based control.

Abstract: In many applications, such as in battery-operated medical devices or in habitat monitoring sensor networks, special data converters are needed, which can operate on battery or even harvested ...