Data-Driven Control for Linear Discrete-Time Delay Systems

Juan G. Rueda-Escobedo, Emilia Fridman, Johannes Schiffer

Research output: Contribution to journalArticlepeer-review


The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design toward data-driven concepts. Since in many engineering applications time delays naturally arise and are often a source of instability, we contribute to the data-driven control field by introducing data-based formulas for state feedback control design in linear discrete-time time-delay systems with uncertain delays. With the proposed approach, the problems of system stabilization as well as of guaranteed cost and H_{\infty } control design are treated in a unified manner. Extensions to determine the system delays and to ensure robustness in the event of noisy data are also provided.

Original languageEnglish
Pages (from-to)3321-3336
Number of pages16
JournalIEEE Transactions on Automatic Control
Issue number7
StatePublished - 1 Jul 2022


  • Data-driven control
  • delay systems
  • robust control
  • sampled data control

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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