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• W782499346 abstract "Transport-reaction processes, which are typically described by parabolic partial differential equations (PDEs), play an important role within the chemical process industries. Therefore, it is important to develop feedback control techniques that operate transport-reaction processes in an economically optimal fashion in the presence of constraints in the process states and manipulated inputs. Economic model predictive control (EMPC) is a predictive control scheme that combines process economics and feedback control into an integrated framework with the potential of improving the closed-loop process economic performance compared to traditional control methodologies. In this work, we focus on systems of nonlinear parabolic PDEs and propose a novel EMPC design integrating adaptive proper orthogonal decomposition (APOD) method with a high-order finite-difference method to handle state constraints. The computational efficiency and constraint handling properties of this design are evaluated using a tubular reactor example modeled by two nonlinear parabolic PDEs." @default.
• W782499346 created "2016-06-24" @default.
• W782499346 creator A5002367171 @default.
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• W782499346 date "2015-08-01" @default.
• W782499346 modified "2023-09-27" @default.
• W782499346 title "Handling state constraints and economics in feedback control of transport-reaction processes" @default.
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• W782499346 doi "https://doi.org/10.1016/j.jprocont.2015.04.009" @default.
• W782499346 hasPublicationYear "2015" @default.
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