Boost converter with neural network control

A boost converter with neural network control refers to a power converter whose output is regulated by a neural network-based controller.

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