Stability of neurofuzzy controllers

The paper presents the stability analysis for a class of neuro-fuzzy controllers. A representation of fuzzy sets as radial basis neural network is utilized. Stability conditions for nonlinear plants, in closed loop with this type of controller, are obtained by means of Popov theorem. Applicability of these conditions is illustrated via simulations.