It is difficult to control the dissolved oxygen concentration of the wastewater treatment

a novel approach of control method based on the self-organizing T-S fuzzy neural network (SOTSFNN) is proposed. The essence of the approach according to the actual environment adjust the neuron self-adaptation in time

based on the activity intensity comparisons of the fuzzy rules layer

and construct the appropriate control structure

thus increase the accuracy of control effect. Meanwhile

the parameters of the controller are adjusted on line using error back propagation algorithm. Finally

the controller is applied to Benchmark Simulation Model No.1. The results indicate that the proposed SOTSFNN controller can achieve better control effect for dissolved oxygen concentration with good adaptability.