Model-based control is one of the popular solutions for designing a controller used to control nonlinear systems. However, the difficulty of obtaining an accurate model is a challenge for control designers. For this reason model-free control (MFC) methods are attractive. This contribution gives an overview on different types of model-free control. It includes an investigation about model-free techniques applied to nonlinear systems. In detail the iPID iterative learning-based method is expressed more detailed. Simulation results also illustrate a successful application and performance of the proposed method.

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