Abstract: This letter develops the machinery of Koopman-based Model Predictive Control (KMPC) design, where the Koopman derived model is unable to capture the real nonlinear system perfectly. We then ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

The fetish of automation masks the commodification of combat judgment. Corporate software reshapes war while preserving just ...

Abstract: In complex and dynamic environments, achieving autonomous decision-making and control of agent remains a challenging task. Traditional reinforcement learning algorithms often struggle to ...

Army officers interested in transferring will be able to apply through the service’s Voluntary Transfer Incentive Program beginning Jan. 5.

For the lowest power consumption, MCUs are still preferred, and for high performance, MPUs are dominant. But that’s changing.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.