To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...

Abstract: This study discusses vehicle stability control based on explicit nonlinear model predictive control (NMPC) and investigates the influence of prediction model fidelity on controller ...

To run the Race Car example execute: main_singletrack.m A Gaussian process is used to learn unmodeled dynamics $$x_{k+1} = f_d(x_k,u_k) + B_d * ( GP(z_k) + w ...

Two-dimensional (2D) perovskites are increasingly recognized as promising candidate materials for the next generation of ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

The pharma predictive analytics market offers opportunities in AI-driven drug discovery, maximizing healthcare and real-world data usage, and leveraging hybrid cloud deployments for improved data ...

But also, cloud computing is for everyone, but not for every organisation’s IT budget where (for example) AI token usage ...

RBI's new AI governance rules for banks place significant accountability on financial entities for all predictive models, ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...