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Therefore robust models describing steady-state and dynamic behaviour of the processes are needed when aiming for improved monitoring and control.
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The kinetic behaviour of the process is not influenced by the nature or amount of the emulsifier.
An updating scheme (or reinforcement scheme) adapts this probability distribution according to the "good" or "bad" behaviour of the process.
Mathematical models are provided, steady state data are validated and case studies performed to study the transient behaviour of the process in response to process disturbances.
It shows how this poor performance can be predicted and eliminated or minimised, and how the parameters affect the steady-state multiplicity of the process and behaviour of the process gains by using this approach.
This paper considers meta-modelling with time space-dependent outime space-dependentvestigate the dynamic/distributed behavioutputsthe process.
It was aimed at obtaining a simplified model which should have essential dynamic behaviour of the process suitable for applications such as control design and dynamic optimization.
The concepts of factorial design were used in the study of the dynamic behaviour of the process, which was used to determine the best control structures for the process.
Due to the complex nature of the process, the best method to study the behaviour of the process is by using numerical techniques and advanced explicit finite element (FE) codes.
Such properties often express higher-level characteristics of the behaviour of the process rather than the direct influences; for example stable end situations (e.g., 'after some time the crime rate stabilises'), or the effect of the occurrence of several events at the same time.
Based on the assumption that dynamic behaviour of the process is described by a multi-model approach around different operating points, a set of residual is established in order to generate weighting functions robust to faults.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com