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- W2360835327 abstract "A fuzzy controller optimized by immune genetic algorithm (IGA). By utilizing the global search ability of immune genetic algorithm(IGA) and self-learning ability of neuron controller, the new approach increases the control accuracy of fuzzy controller and improves its ability of anti-interference. The simulation result, which was obtained by applying the method to full order rectification column model, shows static error was effectively reduced and the robustness of the new approach in controlling shock in the process was satisfactory. Also, the advantages of this new approach are shown in practical applications." @default.
- W2360835327 created "2016-06-24" @default.
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- W2360835327 date "2008-01-01" @default.
- W2360835327 modified "2023-09-25" @default.
- W2360835327 title "A control simulate study of fuzzy-neron controller optimized by immune genetic algorithm (IGA) used in full order rectification column model" @default.
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