Constrained multisine input signals for plant-friendly identification of chemical process systems

Daniel Rivera, Hyunjin Lee, Hans Mittelmann, Martin W. Braun

Research output: Contribution to journalArticlepeer-review

77 Scopus citations


This paper considers the use of constrained minimum crest factor multisine signals as inputs for plant-friendly identification testing of chemical process systems. The methodology presented here effectively integrates operating restrictions, information-theoretic requirements, and state-of-the-art optimization techniques to design minimum crest factor multisine signals meeting important user-specified time and frequency domain properties. A series of optimization problem formulations relevant to problems in linear, nonlinear, and multivariable system identification are presented; these culminate with their application to the modeling of the Weischedel-McAvoy high-purity distillation column problem, a demanding nonlinear and highly interactive system. The effectiveness of these signals for modeling for control purposes and the ability to incorporate a priori nonlinear models in the signal design procedure are demonstrated in this distillation system case study.

Original languageEnglish (US)
Pages (from-to)623-635
Number of pages13
JournalJournal of Process Control
Issue number4
StatePublished - Apr 2009


  • "Plant-friendly" system identification
  • Constrained multisine signals
  • Highly interactive systems
  • Process control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Industrial and Manufacturing Engineering


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