This article contributes a theoretical framework for data-driven feedback linearization of nonlinear control-affine systems. We unify the traditional geometric perspective on feedback linearization ...

A novel, general-purpose recursive linearization (RL) methodology for the analysis of small-signal stability that combines the use of chain rule-based techniques with perturbation theory is proposed.

The memory polynomial (MP) model exhibits a good compromise between accuracy and complexity, making its applicability recurrent for linearization [7]. For a given set of input (x ¯) and output (y ¯), ...