Tracking　control　designs　are　important　issues　for　practical　applications.　Combining　iterative　learning　control　theory　with　Takagi-Sugeno　(TS)　fuzzy　methodology,　a　fuzzy　iterative　learning　control　design　method　is　described　for　output　tracking　of　nonlinear　discrete-time　system.　First,　the　TS　fuzzy　model　is　employed　to　approximate　a　nonlinear　discrete-time　system.　Next,　a　model-based　fuzzy　iterative　learning　controller　is　developed　to　guarantee　the　convergence　of　the　tracking　error.　The　proposed　approach　can　sufficiently　utilize　clear　concepts　and　simple　methods　of　iterative　learning　control　theory　to　improve　system　tracking　performance.　A　simulation　example　is　provided　to　illustrate　the　design　procedures　and　the　effectiveness　of　the　fuzzy　iterative　learning　controller.