To address this, we propose a distributed widely-linear exponential functional link network (D-WLEFLN) combining wide-linear architecture with exponential expansions for enhanced nonlinear modeling.

The recursive least squares technique is often extended with exponential forgetting as a tool for parameter estimation in time-varying systems. The distribution of the resulting parameter estimates is ...