Closed-loop Data-driven Trade-off PID Control Design

Ryo Kurokawa, Takao Sato, Ramon Vilanova, Yasuo Konishi

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)


© 2018 The present study proposes a new approach to a data-driven PID control design method based on one-shot closed-loop input and output data. Even if the proposed controller is designed using only one-shot data, both the prescribed robust stability and tracking performance optimization are attained. The proposed control law is designed by solving a constrained optimization problem, in which the robust stability as a constraint condition is designed by a sensitivity function estimated using the discrete-time Fourier transform, and the performance function defined using a fictitious reference is minimized. As a result, the proposed method provides trade-off design between the tracking performance and robust stability, where the robust stability is arbitrarily selected depending on the plant perturbation. The effectiveness of the proposed method is demonstrated through numerical examples.
Original languageEnglish
Pages (from-to)244-249
Issue number4
Publication statusPublished - 1 Jan 2018


  • PID control
  • frequency estimation
  • iterative method
  • multiobjective optimization
  • robust stability
  • sampled-data system
  • sensitivity function
  • transient response


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