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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

DC-DC power converter

biblio

Visible to the public Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm
  • autoregressive processes
  • Training
  • System Identification
  • switching convertors
  • static behavior
  • recurrent nonlinear autoregressive exogenous neural network
  • prediction
  • power converter
  • nonsynchronous buck converter model
  • DC-DC power converter
  • DC-DC buck converter
  • black-box modelling
  • black-box model
  • black-box approach
  • Resiliency
  • black-box models
  • radial basis function networks
  • Artificial Neural Networks
  • multilayer perceptrons
  • DC-DC power convertors
  • recurrent neural network
  • recurrent neural nets
  • black box encryption
  • power engineering computing
  • neural network
  • Metrics
  • composability
  • pubcrawl

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