Aimed at a kind of complex industrial production processes with nonlinear dynamic properties, the Fuzzy-Neural Network controller based on Genetic Algorithms was designed in this paper. The coding optimization method ...
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ISBN:
(纸本)0780342534
Aimed at a kind of complex industrial production processes with nonlinear dynamic properties, the Fuzzy-Neural Network controller based on Genetic Algorithms was designed in this paper. The coding optimization method for the parameters of the stimulating functions of the network's hidden nodes is the concatenated, multi-parameters, mapped, and fixed-pointcodingmethod. Based on this method, we can get the optimized fuzzy controller on-line. The step response curve of practical oven temperature control is given in this paper. The experimental results show that the Fuzzy-Neural Network controller based on Genetic Algorithms optimizing is robust and effective and will find wide industrial application scope.
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