1 citations · 1 across the 5 of their papers we have counts for
5 papers
AI Enhanced Control Engineering Methods
Ion Matei, Raj Minhas, Johan de Kleer +1
AI and machine learning based approaches are becoming ubiquitous in almost all engineering fields. Control engineering cannot escape this trend. In this paper, we explore how AI to…
A Controlled Mean Field Model for Chiplet Population Dynamics
Iman Nodozi, Abhishek Halder, Ion Matei
In micro-assembly applications, ensemble of chiplets immersed in a dielectric fluid are steered using dielectrophoretic forces induced by an array of electrode population. Generali…
An optimization-based approach to automated design
Ion Matei, Maksym Zhenirovskyy, John Maxwell +1
We propose a model-based, automated, bottom-up approach for design, which is applicable to various physical domains, but in this work we focus on the electrical domain. This bottom…
System Resilience through Health Monitoring and Reconfiguration
Ion Matei, Wiktor Piotrowski, Alexandre Perez +4
We demonstrate an end-to-end framework to improve the resilience of man-made systems to unforeseen events. The framework is based on a physics-based digital twin model and three mo…
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints
Ion Matei, Maksym Zhenirovskyy, Johan de Kleer +1
We introduce two block coordinate descent algorithms for solving optimization problems with ordinary differential equations (ODEs) as dynamical constraints. The algorithms do not n…