A new adaptive multi-output fuzzy logic system as identifiers of nonlinear MIMO dynamic systems

Ill this paper, a novel method for the construction of adaptive multi-output fuzzy logic systems, based on the single-output fuzzy logic system and utilizing some features of the artificial neural networks and fuzzy rules library? is proposed. Contrasting with the single-output fuzzy system, it needs less the number of parameters and has more rapid speed. The simulation results show that this method is superior to the approach simplifying multi-output to several single-output systems according to the number of rule, the approximate velocity or the approximate error.