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What is Neural Network Controller with MCU & FPGA about?

This document summarizes a research paper that presents the hardware implementation of a neural network controller for nonlinear systems using a microcontroller unit (MCU) and field programmable gate array (FPGA) chip. The neural network control algorithm is implemented on the MCU using an online learning technique called reference compensation. PID controllers and other functions are implemented on the FPGA. The interface between the MCU and FPGA allows the complete neural controller hardware. This control

Author

ivi

Language

EN