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Dynamic data reconciliation for sequential modular simulators: application to a mixing process

By V. M. Becerra, P. D. Roberts and G. W. Griffiths

Abstract

This paper describes a method for dynamic data reconciliation of nonlinear systems that are simulated using the sequential modular approach, and where individual modules are represented by a class of differential algebraic equations. The estimation technique consists of a bank of extended Kalman filters that are integrated with the modules. The paper reports a study based on experimental data obtained from a pilot scale mixing process

Year: 2000
OAI identifier: oai:centaur.reading.ac.uk:19226
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