By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...

One of the central challenges for synthetic chemists is to impose control over free radicals. Highly reactive molecules with an unpaired electron, free radicals may be familiar to you; these are 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 ...

Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...

What neural activity in motor cortex represents and how it controls ongoing movement remain unclear. Suggestions that cortex generates low-level muscle control are discredited by correlations with ...

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 ...