Using a fuzzy system for controlling internal parameters of a chaotic system

Based on numerical results obtained with a multiparametric chaotic system, a fuzzy system has been developed in order to compensate the variations of the measured parameters. The measured parameters are temperature, humidity and light intensity. Also, for every of these parameters, based on the measurement results, certain ranges of values have been established. The fuzzy system has been implemented in MatLab and a comparison has been made between Gauss membership functions and tent map membership functions.