Abstract: In this paper, a novel kind of the dissolved oxygen (DO) concentration control system was proposed based on the T-S fuzzy neural network.
showed that the control effect of the DO concentration based on. T-S fuzzy neural network control system was better. Besides, the test results under three ...
Dissolved oxygen control system based on the T-S fuzzy neural ...
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A new fuzzy neural network method to predict minimum dissolved oxygen (DO) concentration in a highly urbanised riverine environment (in Calgary, Canada) is ...
Xu [5] proposed a new control method based on fuzzy neural network (FNN) to control DO concentration. The gradient descent algorithm is used to adjust the ...
The fuzzy neural network based on TS model was used to evaluate and analyze the water quality characteristics of Liuxi river Irrigation District.
In this work, we consider a simulation study of a fuzzy adaptive control for a concentration in a bioreactor. A Takagi Sugeno (TS) fuzzy inference system (FIS) ...
Qiao Junfei et al. proposed a control method based on self-organizing T-S fuzzy neural network (SO-TSFNN), while using its powerful self-learning, fault- ...
Dissolved oxygen control method based on self-organizing T-S fuzzy neural network · Qiao JunfeiFu WentaoHan Honggui. Environmental Science, Computer Science.
The main feature of this control system is that the fuzzy controller can extract fuzzy rules automatically using a self-organizing fuzzy neural network (FNN), ...
Sep 5, 2022 · This review covers various DO control strategies proposed by researchers around the world in the past 20 years.