1. Accelerating FPGA implementation of neural network controllers via 32-bit fixed-point design for real-time control;Hingu,2023
2. A novel weight dropout approach to accelerate the neural network controller embedded implementation on FPGA for a solar inverter;Sturtz,2023
3. FPGA acceleration of a real-time neural network controller for solar inverter;Hingu,2022
4. Training recurrent neural networks with the Levenberg–Marquardt algorithm for optimal control of a grid-connected converter;Fu;IEEE Trans. Neural Netw. Learn. Syst.,2014
5. Vector control of a grid-connected rectifier/inverter using an artificial neural network;Li,2012