Boost converter with neural network control

Version 1.0.0 (59.8 KB) by Abdelrahman Farghly
A boost converter with neural network control refers to a power converter whose output is regulated by a neural network-based controller.
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Updated 30 Apr 2025

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Why Use Neural Network Control?
Traditional control (like PID) works well for linear, time-invariant systems, but a boost converter is:
  • Nonlinear (due to switching)
  • Time-varying (with load/voltage changes)
  • Affected by parameter uncertainties (like ESR, inductance drift, etc.)
A neural network can:
  • Learn the system behavior from data
  • Handle nonlinearity and unmodeled dynamics
  • Provide fast, adaptive control

Cite As

Abdelrahman Farghly (2025). Boost converter with neural network control (https://uk.mathworks.com/matlabcentral/fileexchange/180933-boost-converter-with-neural-network-control), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0