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- W2364239705 abstract "The integration of process mechanism and data-driven model is an important and difficult problem in the field of process control all along. A novel structure of mechanism hybrid model is presented. This model is based on adaptive time delay neural network (ATDNN) combined with process mechanism model, so it can predict the plant to be modeled and can improve the generalization ability of the neural network greatly. A predictive control algorithm is designed based on this model, and the approach ability and convergence of this model are analyzed. Moreover, the close loop stability of this control algorithm is analyzed as well. A great deal of experimental results, which are done on the double tank water level control system, show that the control performance of the predictive control algorithm based on this hybrid model is superior to the counterpart of the predictive control algorithm based on traditional feedforward neural network model. Therefore, the superiority of this hybrid model is validated." @default.
- W2364239705 created "2016-06-24" @default.
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- W2364239705 date "2004-01-01" @default.
- W2364239705 modified "2023-09-23" @default.
- W2364239705 title "An Algorithm of Modeling and Control Based on Mechanism Hybrid Adaptive Time Delay Neural Network" @default.
- W2364239705 hasPublicationYear "2004" @default.
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