Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

Black Book's approach is designed as a practical countermeasure. By maintaining year--round validity, applying audit-supported validation, and refining KPI definitions and weightings on a defined ...

Abstract: Existing model predictive control (MPC) methods lack online learning capability in complex environments. Reinforcement learning (RL) requires a lot of data and computing resources to obtain ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...