Very complex systems require sophisticated controllers in order to achieve high performance. The demand for ever higher performance is putting the traditional controllers in crisis especially when there is a lack of information on the environment in which the system is operating or when the goals are not completely clear. These needs can be met by Intelligent Control (IC), a class of control techniques whose development is recently increased thanks to modern processing capacity. Flexibility is the key for intelligent controllers in order to adapt to different scenarios. Therefore in this master thesis an intelligent control system was designed by using Genetic Programming (GP) algorithm in Python.