News headlines Marathon Petroleum Corporation (MPC) continues to draw investor interest with a 31.9% stock gain over the past year, driven by strong Q4 results and ongoing insider activities. The ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

Morningstar Quantitative Ratings for Stocks are generated using an algorithm that compares companies that are not under analyst coverage to peer companies that do receive analyst-driven ratings.

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The Bank of England meets eight times a year to set the base rate, which is the core interest ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Indicator species are living organisms that tell us that something has changed or is going to change in their environment. They can be easily observed, and studying them is considered a cost-effective ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

Abstract: In this article, we develop a tracking model predictive control (MPC) scheme for nonlinear systems using the linearized dynamics at the current state as a prediction model. Under reasonable ...

Abstract: Frequency control is crucial for the stable operation of a power system. Among various control methodologies, model predictive control (MPC) is one of the promising methods for frequency ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...