In this paper we show the adaptability analysis of estimation algorithms based on mobile average autoregressive models (ARMA) in an easy implementation system composed of a network of operational amplifiers (OpAmp) known as the Sallen-Key. Parameters are adjusted by means of projection algorithms, projection algorithm with covariance matrix, Recursive Least Squares (RLS) and Normalized RLS. The comparison of the performance of the estimation algorithms shows that those based on RLS and Normalized RLS quickly stabilize their values before disturbances in the input signals of the dynamic system.