IEEE

Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...

'Scarily accurate': Open-source AI engine predicts markets and public opinion using thousands of digital agents

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in ...
Frontiers

Water-Smart Hydroponics in Protected Cropping Systems: Microclimate Modeling, IoT and AI-Enabled Control, Digital Twins, and Circular Resource and Energy Strategies

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
Journal of Medical Internet Research

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the ...

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...
IEEE

Model-Free Predictive Current Control for Switched Reluctance Motor Drives Using Current Difference Technique

Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...