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

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Bibliographic Details
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

Description
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.
ISSN:	00011541
DOI:	10.1002/aic.11458