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The control of uncertain non-linear plants is a challenging task. Adaptive Fuzzy Controllers have been applied widely for the control of such processes. The book discusses one particular approach to the fuzzy controllers. Adaptive Model Free Fuzzy Control is a goal oriented approach which tries to control the plant based on the information available without specifically modeling the plant. The prime objective of the controller is to reduce the control error. The book discusses two different model free control structures and their relative merits and de-merits. Four different fuzzy identification schemes have been discussed which can be used to train the controller parameters. The simulation results from both the controllers have been included to get a better understanding of the control performance. The cooling coil of an air handling unit is used for the realistic testing of the controllers.