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- W2000508313 abstract "We address in this paper the application of a recently proposed MPC performance monitoring method to a rigorously simulated industrial process. The methodology aims at detecting possible sources of suboptimal performance of linear offset-free MPC algorithms by analysis of the prediction error sequence, discriminating between the presence of plant/model mismatch and incorrect disturbance/state estimation, and proposing for each scenario an appropriate corrective action. We focus on the applicability of the method to large-scale industrial systems, which typically comprise a block structure, devising efficient and scalable diagnosis and correction procedures. We also discuss and support the application of this method when the controlled plant shows a mild nonlinear behavior mainly associated with operating point changes. A high-fidelity dynamic simulation model of a crude distillation unit was developed in UniSimr Design and used as representative test bench. Results show the efficacy of the method and indicate possible research directions for further improvements." @default.
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- W2000508313 date "2013-12-01" @default.
- W2000508313 modified "2023-09-27" @default.
- W2000508313 title "MPC Performance Monitoring of a Rigorously Simulated Industrial Process" @default.
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- W2000508313 doi "https://doi.org/10.3182/20131218-3-in-2045.00141" @default.
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