IEEE

Performance and Power Analysis of feed-forward Artificial Neural Network In Xilinx’s 7 Series Field Programmable Gate Array

Abstract: This paper presents an analysis on performance and power consumption of a feed-forward artificial neural network (FFANN) implemented on field-programmable gate arrays (FPGA). For this ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Speed Control of BP Neural Networks Feed-Forward Compensation With Parameter Adaptation Based on Active Disturbance Rejection Control for PMSM

Abstract: Permanent magnet synchronous motor(PMSM) control system is a time-varying nonlinear system. To address the issue of poor tracking performance in control ...