Robust parameter design with feedback control

Tirthankar Dasgupta, C. F.Jeff Wu

Research output: Contribution to specialist publicationArticle

14 Scopus citations


Two commonly used methodologies for mitigating the effect of noise on process output are robust parameter design and on-line control. In many processes, the optimal control law depends on the parameter design solution and vice versa. The need for an integrated approach that combines the two methods is therefore evident. This article develops a parameter design methodology in the presence of feedback control for processes of long duration. Systems that follow a pure-gain dynamic model are considered and the best proportional-integral and minimum mean squared error control strategies are developed using robust parameter design. The proposed method is illustrated using a simulated example and a case study in a urea packing plant.

Original languageEnglish (US)
Number of pages12
Specialist publicationTechnometrics
StatePublished - Aug 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics


  • Experiments
  • Minimum mean squared error control
  • Process control
  • Proportional-integral control
  • Quality engineering


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