26 citations · 28 across the 12 of their papers we have counts for
4 papers · 1 filter
Iterative Classification of Graph-Set-Based Designs (IC-GSBD) for the Down-Selection of Aircraft Thermal Management Systems
Anthony Sirico, Daniel R Herber
In this paper, we present Iterative Classification of Graph-Set-Based Design (IC-GSBD), a framework utilizing graph-based techniques with geometric deep learning (GDL) integrated w…
Concurrent Probabilistic Control Co-Design and Layout Optimization of Wave Energy Converter Farms using Surrogate Modeling
Saeed Azad, Daniel R. Herber
Wave energy converters (WECs) are a promising candidate for meeting the increasing energy demands of today's society. It is known that the sizing and power take-off (PTO) control o…
On the Use of Geometric Deep Learning for the Iterative Classification and Down-Selection of Analog Electric Circuits
Anthony Sirico, Daniel R. Herber
Many complex engineering systems can be represented in a topological form, such as graphs. This paper utilizes a machine learning technique called Geometric Deep Learning (GDL) to…
An Overview of Uncertain Control Co-Design Formulations
Saeed Azad, Daniel R. Herber
This article explores various uncertain control co-design (UCCD) problem formulations. While previous work offers formulations that are method-dependent and limited to only a handf…