Self-learning neural network fuzzy control applied to the synthetic ammonia production

Proposes a fuzzy control scheme based on a neural network (NN) structure. The control system includes two NNs. One NN carries out the inference process of the control rules by fuzzy inference and the other one optimizes the fuzzy domain of the language variable in the forward channel by tracking the system dynamics. Hence, the scheme can improve the system performance. The example of the synthetic ammonia system shows the effectiveness of the control scheme.