A Benchmarking analysis of analytical and advanced nonlinear tracking control techniques

Abstract

This paper aims at studying two advanced techniques that are used in control theory of nonlinear affine systems. These later techniques tackle the problem of the trajectory tracking with high steady state performances. The objective of this work is to compare and analyze the dynamical behavior of the desired output when controlled by the gain scheduling method and afterward with a neural control approach. Both techniques are evaluated through a numerical simulation study of a photovoltaic system, which is characterized by hard nonlinear features and challenges. The efficiency and limitations of both techniques are accurately discussed.