[HTML][HTML] An efficient design methodology to speed up the FPGA implementation of artificial neural networks
KV Vineetha, MMSK Reddy, C Ramesh… - Engineering Science and …, 2023 - Elsevier
In this paper, we propose and formulate a C++ based training methodology for speeding up
the implementation of an Artificial Neural Network (ANN) in a Field Programmable Gate …
the implementation of an Artificial Neural Network (ANN) in a Field Programmable Gate …
Real-Time HIL Emulation of DRM with Machine Learning Accelerated WBG Device Models
The proliferation of artificial intelligence (AI) has opened up new avenues for the modeling of
power electronics with ultra-fast transient responses, such as wide-bandgap (WBG) devices …
power electronics with ultra-fast transient responses, such as wide-bandgap (WBG) devices …
Real-Time Discrete Model of Dual Active Bridge Converter with Integrated Loss Model of SiC MOSFETs
YV Pushpalatha, DA Philipps… - 2023 11th International …, 2023 - ieeexplore.ieee.org
This paper presents the real-time discrete model of a dual active bridge (DAB) converter
under extended-phase-shift (EPS) modulation. The model is integrated with an experimental …
under extended-phase-shift (EPS) modulation. The model is integrated with an experimental …