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• W2147397394 abstract "In this paper, we propose a robust PID controller tuning method for parametric uncertainty systems (or interval plant family) using fuzzy neural networks (FNNs). This robust controller is based on robust gain and phase margin (GM/PM) specifications that satisfy user requirements. Here, the FNN system is used to identify the relation between the PID controller parameters and robust GM/PM. We can use the trained FNN system to determine the parameters of the PID controllers in order to satisfy robust GM/PM specifications that guarantee robustness and performance. Simulation results are shown to illustrate the effectiveness of the robust controller scheme." @default.
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• W2147397394 date "2008-10-22" @default.
• W2147397394 modified "2023-09-27" @default.
• W2147397394 title "A Novel Robust Pid Controller Design By Fuzzy Neural Network" @default.
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• W2147397394 doi "https://doi.org/10.1111/j.1934-6093.2002.tb00084.x" @default.
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