CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
Texto
Imagem
Documentos relacionados
A non-linear multivariable model based on a neural network was fit to the experimental results of batch-mode experiments in order to evaluate the relative importance of the
In this study, a predictive controller using a feed- forward neural network with online adaptation of the parameters was used in the temperature control of a batch process for
In line with this, artificial neural network technology of backpropagation neural network (BPNN), radial basis function neural network (RBFNN) and generalized regression
The objective of this study is to investigate the possibility for the prediction of abrasiveness characteristics of thermal coal abrasive index using neural
In this paper, an RBF neural network was used as a classifier in the face and fingerprint recognition system in which the inputs to the neural network are
A análise do turismo pela geografia é realizada a partir de uma diversidade de olhares e percepções do espaço geográfico transformado pelo turismo ao redor do mundo,
The confusion matrix of the neural network for data training shows that the neural network was able to differentiate vocalization samples of healthy chickens from those of
In the present work, the development of a nonlinear controller, based on a neural network inverse model (ANN controller), was proposed and tested to manipulate