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}] | ||
</math></center> | </math></center> | ||
| − | on a time grid <math>\{t_i\}_i</math>. With smooth transfer functions also changes in the dimension of optimization variables can be incorporated, < | + | 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 == | ||
| − | < | + | <biblist /> |
[[Category:Model characterization]] | [[Category:Model characterization]] | ||
Latest revision as of 12:10, 23 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}]](https://mintoc.de/images/math/a/0/b/a0b94a9a445ae01091790071cb7895d8.png)
on a time grid 
. 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
.
References
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