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- W2384230365 abstract "The rolling optimization is the core of predictive control algorithm in the predictive process,and the selection of rolling optimization method is a hinge to practice.Aiming at the characteristics,a nonlinear predictive control algorithm taking the radial basis function(RBF) neural network as multi-step predictive model is presented.The RBF neural network is adopted in the algorithm to establish the system model,and the particle swarm optimization algorithm is applied to performing the online nonlinear optimization to achieve the optimization of control sequences in the limited time domain,which improves the convergence and accuracy of the optimazation process.The results of the simulation show that the algorithm is valid and has got a good control effect." @default.
- W2384230365 created "2016-06-24" @default.
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- W2384230365 date "2010-01-01" @default.
- W2384230365 modified "2023-09-26" @default.
- W2384230365 title "Novel Method of Neural Network Predictive Control" @default.
- W2384230365 hasPublicationYear "2010" @default.
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