Showing eess.SYShow all
3 papers · 1 filter
eess.SY2026
Learning Higher Order DC-DC Converter Control from Inversion
Kamakshi Tatkare, Ufuk Topcu, Brian Johnson
Control design for high-order converters with nonlinear dynamics is generally difficult. Nonlinear controls introduce formidable model complexity whereas linear controls suffer fro…
eess.SY2026
Flatness-based Neural Network Control of DC-DC Converters
Kamakshi Tatkare, Ufuk Topcu, Brian Johnson
In this work, we present a simple method to engineer a small neural network to control power converters. Learning-based methods have emerged as a promising approach for power conve…
eess.SY2024
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources
Shaohui Liu, Weiqian Cai, Hao Zhu +1
The growing prevalence of inverter-based resources (IBRs) for renewable energy integration and electrification greatly challenges power system dynamic analysis. To account for both…