<p>Fuzzy logic is understood as the way to represent reasoning and inaccurate or approximate ideas mathematically. It is based in input-output represented in a fuzzy rules set, which are linguistic expressions that associate causes with effects. Their versatility has made it suitable for solving reference following problems in control engineering, where have improved the performance of controllers for systems which are not necessarily linear and time invariant. In their theory several control schemes are studied in which fuzzy logic plays a determining role in its condition of adaptive control. Also, the capability fuzzy inference systems (FIS) have for dynamic systems identification contributes with solutions to control schemes that include reference models. Thus, fuzzy logic techniques in control engineering have been a successful alternative to aimed endeavors to improve performance of control systems towards nonlinearities, parameter variability and situations in which the process to control is inaccurate or not well known.</p>