This paper deals with the design of gain-scheduling-based iterative learning controllers for continuous-time non-linear systems described by a blended multiple model representation. Sufficient conditions guaranteeing the convergence of the infinity norm as well as the A-norm of the tracking error are derived. The effectiveness of the proposed control scheme is illustrated on an example of a non-affine-in-input system.