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- W2392717719 abstract "Based on the radial basis function neural network(RBFNN) model of the concentration of the main product and the reaction temperature,an optimization curve for reaction temperature has been obtained by means of a particle swarm optimizer(PSO).A predictive model of a batch reactor was set up at the water cooling temperature.Use of a non-linear predictive control system with a model error item enhanced the robustness and anti-disturbance performance of the model.The value range of parameters was obtained through a stability analysis of predictive control based on Lyapunov theory.The program was set up to realize a control strategy based on a multifunctional process and control experiment(MPCE) system.The proposed optimal control profile is effective and superior to the control result using a special proportional-integral-derivative(PID) regulator." @default.
- W2392717719 created "2016-06-24" @default.
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- W2392717719 date "2009-01-01" @default.
- W2392717719 modified "2023-09-23" @default.
- W2392717719 title "Optimization and non-linear predictive control of a class of batch processes" @default.
- W2392717719 hasPublicationYear "2009" @default.
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