In this section, we delve into the impact of the dynamic learning of synchronization (DLS) technique in modulating external excitation to enhance network synchronization. The discussion also covers the underlying mechanisms governing the changes in external excitation during the regulation process, providing a thorough exploration of these complex dynamics. In this study, the Euler forward algorithm is applied to numerically solve the nonlinear dynamic equations represented by Eqs. (1), (9).
