Implementation of the Neural Networks for Adaptive Control System on FPGA
Yuriy Panteliyovych Kondratenko, Evgeniy Gordienko · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · 2012
This work deals with the parametric identification of control objects based on application of developed neural network.Special attention paid to the structure of embedded identification system with FPGA (Field Programmable Gate Arrays) realisation.Two kinds of FPGA-based neural networks are synthesized and tested for identification of the nonstationary parameters of caterpillar turn control system with corresponding adjusting of the adaptive regulator parameters.The modeling results confirm the efficiency of the suggested approach and developed neural networks.