This paper deals with the identification of nonlinear dynamic systems by LOLIMOT algorithm, which allows to gradually build the neuro-fuzzy model of the identified system. The mathematical model as well as the identification algorithm for MISO and MIMO systems are described. The methodology is demonstrated on several examples. and Obsahuje seznam literatury