FPGA Implementation of Artificial Neural Networks for Model Predictive Control

Traditionally, the real-time implementation of Model Predictive Control (MPC) has been limited by processing and storage requirements. Recently, the idea of using Artificial Neural Networks (ANN) to approximate MPC control laws, including implementations on Field Programmable Gate Array (FPGA), has...

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Bibliographic Details

Published in:	2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA) pp. 1 - 6
Main Authors:	VaAsquez, Juan J., CortaEs, Alfonso, Silva, CaEsar, Aguero, Juan C., Carvajal, Gonzalo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20.10.2024
Subjects:	artificial neural network Artificial neural networks field programmable gate array Field programmable gate arrays Hardware hls4ml Logic gates model predictive control Predictive control Predictive models quantization Quantization (signal) Real-time systems Software
Online Access:	Get full text
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