After launching a multi-campus phased rollout of the predictive insulin dosing software, Philadelphia-based Temple Health’s University Hospital has reduced hypoglycemia rates two- to threefold.   The ...
Engie’s Smart O&M platform uses AI, IoT, and predictive analytics to transform facility management from reactive to proactive ...
Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous tractors. Classic approaches such as proportional–integral–derivative (PID ...
Abstract: Model predictive control is a widely used approach to the problem of highway local ramp metering problem. The main parameter that affects the computational complexity is the prediction ...
A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...
Batch mixing remains the predominant approach in industries where product diversity, regulatory oversight and recipe ...
Abstract: This paper presents a model predictive control (MPC) strategy for three-level neutral-point-clamped ($3 ~\mathrm{L}-\text{NPC}$) converters. Conventional finite-control-set MPC (FCS-MPC) ...
Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...
A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...