<p>Active noise reduction in the presence of non-linearity and outliers entail significant challenges in a distributed scenario. Due to various location of quiet regions and acoustic connection between error sensors and secondary sources, the nonlinear primary (NPP) and nonlinear secondary (NSP) path issues are highly demanding in several-point noise mitigation systems in the situation of outliers. In an attempt to alleviate the said challenge, this manuscript intends to employ the erf criteria in the modified form of Andrew’s sine as a cost function for handling outlier or interference. The Andrew’s sine function is a reliable estimator that has been employed in the field of robust statistics and outlier rejection. Further, a nonlinear distributed active noise control model is formulated utilizing recursive functional link network in conjugation to the modified Andrew’s sine with erf function. In addition, a new variable step size is appended to the technique to carry out adjustment of convergence versus noise mitigation capability. Simulation investigations have been conducted in lieu of NPP, NSP scenarios and compared with existing methods.</p>