Abstract: The use of the Euler approach in the formulation of predictive control methods for off-board electric vehicle (EV) battery chargers significantly affects the prediction accuracy of control ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new research into materials that pull carbon dioxide directly from the air ...
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 ...
Lethal tank and Bradley crews will be critical in the next conflict. This research dives deep into what separates successful tank and Bradley crews at Gunnery Table 6 to identify the critical factors ...
An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays. The ...
Objective To study the reliability and validity of adverse childhood experiences (ACE) scores measured using a questionnaire versus abstraction of medical records, and to test whether the scores vary ...
Neuropsychiatric disorders are highly prevalent worldwide, significantly impairing cognition, emotional regulation, and social functioning. However, their diagnosis still largely relies on subjective ...
Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...
Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.
Abstract: This paper proposes a low-complexity model predictive control (L-MPC) method for a five-leg inverter (FLI) that independently drives dual three-phase induction motors (IMs). In the FLI ...