By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: This article proposes an online data-driven Koopman model predictive control (ODDKMPC) approach for robotic systems with unknown dynamics. Specifically, a least-squares-based automatic ...
Advances in methods that allow targeted remote control of neuronal activity open new possibilities for investigating and manipulating the function of neuronal circuits in vivo. The group of Michael ...
CommonRoad Control is an open-source toolbox for motion control and dynamic simulation in autonomous driving. Our toolbox offers various model-based and model-free controllers that are compatible with ...
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