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) ...

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: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

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

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 ...

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

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 ...

Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...

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, ...

Utilities don't often realize how close they are to putting data they have to good use, so they can begin reaping value, and scale in a practical way for their business and ...

The new Peaq showcases the full range of Škoda's driver assistance technology. The comprehensive suite of advanced systems, ...