IEEE

Uncertainty Predictive Observer-Based Model-Free Adaptive Disturbance Rejection Control

Abstract: An uncertainty predictive observer-based model-free adaptive disturbance rejection control (UPO-MFADRC) is developed for nonaffine nonlinear systems with uncertain nonlinearities and ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Frontiers

Household water, sanitation, and hygiene practices in Ghana from 1993–2022: a non-linear multivariate Poisson decomposition and traditional predictive modelling approach

Background: Access to safe water, sanitation, and hygiene (WASH) remain public health and sustainable development necessities. While Ghana has made notable progress over the past three decades, ...
IEEE

Robust Data-Driven Predictive Control for Unknown Linear Systems With Bounded Disturbances

Abstract: This article presents a robust data-driven predictive control (RDPC) framework for linear time-invariant (LTI) systems affected by bounded disturbances and measurement noise. Unlike ...