Parameter Estimation for Batch Processes Using a Bayesian Approach
نویسندگان
چکیده
In a changing operational environment, a major challenge that still exits is the assured state and parameter estimation of dynamic processes . The values or expressions of important parameters can be difficult to determine and initial errors may be present in some parameters as a result of changes in the initial operating conditions. Furthermore as a result of variations in the environmental and operational conditions or the dynamic characteristics of the process, parameters may be time -varying. In this paper, an on-line Bayesian parameter estimator is developed and evaluated on a simulation of a batch methyl methacrylate process. Copyright © 2004 IFAC
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