Neural Networks-Generalized Predictive Control for MIMO Grid-Connected Z-Source Inverter Model

This paper presents a neural network-generalized predictive control (NN-GPC) for a single-phase gridconnected z-source inverter. The NN forecasts the predictive horizon, and the conventional GPC algorithm calculates the control horizon. The results verify the proposed NN-GPC effectively enhances the dynamic operation of z-source inverter regarding the non-minimum phase characteristics of these converters.