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Enhanced Stability Regions for Model Predictive Control of Nonlinear Process Systems.

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Title: Enhanced Stability Regions for Model Predictive Control of Nonlinear Process Systems.
Authors: Mahmood, Maaz1, Mhaskar, Prashant1 mhaskar@mcmaster.ca
Source: AIChE Journal. Jun2008, Vol. 54 Issue 6, p1487-1498. 12p.
Subjects: Chemical engineering approximation methods, Predictive control systems, Nonlinear statistical models, Chemical engineering, Chemical engineering software, Computer simulation
Abstract: This article discusses efforts to establish predictive control over nonlinear chemical processes despite the physical limitations of control systems. The development of a predictive control for the initial conditions of the null controllable region in a linear system is discussed. The null controllable region is the part of a linear system where no feedback is generated to inform efforts to control the system. The expansion of that model so that it can expand the initial conditions and use these as predictive controls for nonlinear process systems is discussed. This model is applied to a chemical reactor example and the modeling of a styrene polymerization process.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 32160649
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Enhanced Stability Regions for Model Predictive Control of Nonlinear Process Systems.
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  Data: <searchLink fieldCode="JN" term="%22AIChE+Journal%22">AIChE Journal</searchLink>. Jun2008, Vol. 54 Issue 6, p1487-1498. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Chemical+engineering+approximation+methods%22">Chemical engineering approximation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+statistical+models%22">Nonlinear statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+engineering%22">Chemical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+engineering+software%22">Chemical engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
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  Data: This article discusses efforts to establish predictive control over nonlinear chemical processes despite the physical limitations of control systems. The development of a predictive control for the initial conditions of the null controllable region in a linear system is discussed. The null controllable region is the part of a linear system where no feedback is generated to inform efforts to control the system. The expansion of that model so that it can expand the initial conditions and use these as predictive controls for nonlinear process systems is discussed. This model is applied to a chemical reactor example and the modeling of a styrene polymerization process.
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        Value: 10.1002/aic.11458
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1487
    Subjects:
      – SubjectFull: Chemical engineering approximation methods
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Nonlinear statistical models
        Type: general
      – SubjectFull: Chemical engineering
        Type: general
      – SubjectFull: Chemical engineering software
        Type: general
      – SubjectFull: Computer simulation
        Type: general
    Titles:
      – TitleFull: Enhanced Stability Regions for Model Predictive Control of Nonlinear Process Systems.
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            NameFull: Mahmood, Maaz
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            NameFull: Mhaskar, Prashant
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            – D: 01
              M: 06
              Text: Jun2008
              Type: published
              Y: 2008
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