Difference between revisions of "Category:Multistage process"

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0 = F_i[x,u,v]  \;\;\;\; t \in [t_{i}, t_{i+1}]
 
0 = F_i[x,u,v]  \;\;\;\; t \in [t_{i}, t_{i+1}]
 
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on a time grid <math>\{t_i\}_i</math>. With smooth transfer functions also changes in the dimension of optimization variables can be incorporated, <bibref>Leineweber1999</bibref>.
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on a time grid <math>\{t_i\}_i</math>. With smooth transfer functions also changes in the dimension of optimization variables can be incorporated, <bib id="Leineweber1999" />.
  
 
== References ==
 
== References ==

Revision as of 19:54, 20 January 2016

Processes of interest are often modelled as multistage processes. At transition times the model can change, sometimes in connection with a state-dependent switch. The equations read as


0 = F_i[x,u,v]  \;\;\;\; t \in [t_{i}, t_{i+1}]

on a time grid \{t_i\}_i. With smooth transfer functions also changes in the dimension of optimization variables can be incorporated, [Leineweber1999]Address: D\"usseldorf
Author: Leineweber, D.B.
Publisher: VDI Verlag
Series: Fortschritt-Berichte VDI Reihe 3, Verfahrens\-technik
Title: Efficient reduced SQP methods for the optimization of chemical processes described by large sparse DAE models
Volume: 613
Year: 1999
Link to Google Scholar
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References

<bibreferences/>

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