Maximum Power Point Tracking Algorithm in Photovoltaic Inverter Systems

The maximum power point tracking algorithm in photovoltaic inverter systems utilizes a variable-step perturbation and observation method, ensuring rapid convergence through adaptive step size adjustments to optimize power extraction efficiency.

Radial Basis Function (RBF) Neural Networks Can Approximate Arbitrary Nonlinear Functions

RBF neural networks leverage radial symmetry and kernel transformations to approximate complex nonlinear functions through efficient architectural design and mathematical foundations