Abstract: This paper addresses the consensus tracking problem for a class of unknown nonlinear multi-agent systems (MAS) subject to input constraints. We present a new data-driven adaptive PID control ...
Abstract: This article is devoted to data-driven event-triggered adaptive dynamic programming (ADP) control for nonlinear systems under input saturation. A global optimal data-driven control law is ...
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 ...
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