The renewed interest in the process data reconciliation by both the academic world and the process industries is mainly due to the introduction of new process control technologies such as the model predictive control, the real time dynamic optimization and the enterprise resource planning, all requiring a continuous (on-line) maintenance and optimization. The paper discusses the existing techniques for solving a data reconciliation problem, proposes some emerging methodologies, and introduces the open issue of the real-time nonlinear reconciliation based on detailed models.
Strengthened Techniques for the Renewed Industrial Interest in Plant Data Reconciliation Benefits
MANENTI, FLAVIO
2008-01-01
Abstract
The renewed interest in the process data reconciliation by both the academic world and the process industries is mainly due to the introduction of new process control technologies such as the model predictive control, the real time dynamic optimization and the enterprise resource planning, all requiring a continuous (on-line) maintenance and optimization. The paper discusses the existing techniques for solving a data reconciliation problem, proposes some emerging methodologies, and introduces the open issue of the real-time nonlinear reconciliation based on detailed models.File in questo prodotto:
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