MINIMIZING UNOBSERVABILITY IN INFERENTIAL CONTROL SCHEMES.

Manfred Morari, George Stephanopoulos

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Slowly-varying persistent unmeasured disturbances, i. e. disturbances which allow the process to exhibit quasi steady-state behavior most of the time, are very common in process-control systems. The inferential control schemes employing the well-known state-reconstruction methods (Luenberger observer, Kalman filter) are unable to cope with such disturbances and have been demonstrated to lead to large errors. The augmentation of the state vector has been proposed as a means for overcoming these difficulties. This paper shows that this procedure yields in general (i. e. always when the number of disturbances exceeds the number of measurements) problems of structural observability and suggests an optimal way to resolve them.

Original languageEnglish (US)
Pages (from-to)367-377
Number of pages11
JournalInternational Journal of Control
Volume31
Issue number2
DOIs
StatePublished - Jan 1 1980
Externally publishedYes

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Observability
Kalman filters
Process control
Control systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

MINIMIZING UNOBSERVABILITY IN INFERENTIAL CONTROL SCHEMES. / Morari, Manfred; Stephanopoulos, George.

In: International Journal of Control, Vol. 31, No. 2, 01.01.1980, p. 367-377.

Research output: Contribution to journalArticle

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