Experimental validation of the discrete-time MCS adaptive strategy

Mario Di Bernardo, Alessandro Di Gaeta, Umberto Montanaro*, Josep M. Olm, Stefania Santini

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

20 Citations (Scopus)


This paper is concerned with the implementation and experimental validation of a discrete-time model reference adaptive control strategy, known as Minimal Control Synthesis (MCS) algorithm. After discussing the proof of stability of the algorithm when applied to discretized models of continuous-time plants, the problem of controlling a highly nonlinear electro-mechanical device is taken as a representative case of study. It is shown that the discrete-time MCS is an effective strategy to solve the problem while guaranteeing robustness to unmodeled nonlinear dynamics over a wide range of test manoeuvres.

Original languageEnglish
Pages (from-to)847-859
Number of pages13
JournalControl Engineering Practice
Issue number6
Publication statusPublished - 1 Jun 2013


  • Adaptive algorithms
  • Adaptive systems
  • Discrete time systems
  • Model reference adaptive control
  • Validation

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