Design of an Adaptive Backstepping Neural Network-Based Controller for Nonlinear Systems with Uncertain Parameters A Perspective on Applications in Sustainable Energy Systems.docx

This item includes a preprint of a research article presenting the design of an adaptive backstepping controller based on neural networks for nonlinear systems with unknown parameters. The proposed control method ensures system stability and robustness against uncertainties and external disturbances. Special attention is given to the potential applications in renewable energy systems such as photovoltaic converters and smart grids. The approach combines intelligent control theory with practical relevance for sustainable energy technologies.