This paper proposes a novel training method for the parameters of a type-2 fuzzy neural network (T2FNN) using sliding mode control theory with an adaptive learning rate. The implemented control structure consists of a conventional (PD) controller in parallel with a T2FNN. The former is responsible to guarantee global asymptotic stability in compact space and to form a sliding behavior. The outp...

Orifice flow meter is one of the most common devices in industry which is used for measuring the gas flow. This system includes an orifice plate, temperature and pressure transmitters, and a flow computer. The flow computer is used for collecting information related to temperature, pressure, and their differences under various conditions. Also the flow computer can calculate the flow rate of ga...

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This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network which recurrent weights, mean and standard deviation of the membership functions are updated. The complete back propagation (BP) algorithm tuning equations used to tune the anteceden...