Abstract: This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, and model dependency by using a dynamic linearization ...

Abstract: The Kalman Filter (KF) is a classical algorithm that was developed for estimating a state that evolves in time based on noisy measurements by assuming linear state transition and ...

This repository contains the problem instances and source code used in the article Recursive McCormick Linearization of Multilinear Programs, authored by David Bergman, Carlos Cardonha, Arvind U.

An expert’s journey to implementing best process control via instrumentation, control strategies and PID control ...

Discover how studying the breakdown of language following a stroke has finally revealed the hidden machinery of one of ...

The guide on this medical gizmo design walks you through the essentials, from sensing principles to circuit basics.

About one-third of U.S. adults consumed fast food on a given day between 2021 and 2023, with an average of 11.7% of daily ...

SafeMERGE: Preserving Safety Alignment in Fine-Tuned LLMs via Selective Layer-Wise Model Merging 2025 Arxiv Llama-2-7B-Chat, Qwen-2-7B-Instruct Bone Soups: A Seek-and-Soup Model Merging Approach for ...

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