An Adaptive Disturbance Decoupling Perspective to Longitudinal Platooning

Di Liu, Bart Besselink, Simone Baldi, Wenwu Yu, Harry L. Trentelman

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
41 Downloads (Pure)


Despite the progress in the field of longitudinal formations of automated vehicles, only recently an interpretation of longitudinal platooning has been given in the framework of disturbance decoupling, i.e. the problem of making a controlled output independent of a disturbance. The appealing feature of this interpretation is that the disturbance decoupling approach naturally yields a decentralized controller that guarantees stability and string stability. In this work, we further exploit the disturbance decoupling framework and we show that convergence to a stable, string stable and disturbance decoupled behavior can be achieved even in the presence of parametric uncertainty of the engine time constant. We refer to this framework as adaptive disturbance decoupling.

Original languageEnglish
Pages (from-to)668-673
JournalIEEE Control Systems Letters
Publication statusPublished - 2022

Bibliographical note

Accepted Author Manuscript


  • Adaptation models
  • Adaptive control
  • Asymptotic stability
  • Closed loop systems
  • Engines
  • Stability analysis
  • Vehicle dynamics


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