Novel robust PID controller design by fuzzy neural network

Ching Hung Lee*, Yi Hsiung Lee, Ching Cheng Teng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


We propose a robust PID controller tuning method for parametric uncertainty systems for 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 PTD 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.

Original languageEnglish
Pages (from-to)433-438
Number of pages6
JournalAsian Journal of Control
Issue number4
StatePublished - Dec 2002


  • Fuzzy neural network
  • Gain margin
  • Kharitonov theorem
  • Phase margin
  • PID control
  • Robust control

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