The present brief shows the design and application of different fuzzy adaptive control techniques. These approaches are a Smith predictor with a dead time fuzzy gain scheduling block, a fuzzy gain scheduling PID controller, and an adaptive PID controller with a fuzzy supervisor block. A mixing tank with variable parameters and dominant dead time, as a benchmark, uses the three controllers. Each controller’s effectiveness is evaluated through a simulation test carried out on the MATLAB-Simulink 2020a platform: a tracking task in the presence of external disturbances. The results indicate that the system response with these controllers is stable, and the control signal is adequate because it remains inside its allowed range. ISE (integral square error), TVu (total variation of the control signal), ts (settling time), and %Mp (percentage of overshoot) indices measure the controllers’ performance.