Author/Authors :
Pascal F. van Lith، نويسنده , , Ben H. L. Betlem، نويسنده , , Brian Roffel and Wouter W. de Boer، نويسنده ,
DocumentNumber :
1384473
Title Of Article :
A structured modeling approach for dynamic hybrid fuzzy-first principles models
شماره ركورد :
11437
Latin Abstract :
Hybrid fuzzy-first principles models can be attractive if a complete physical model is difficult to derive. These hybrid models consist of a framework of dynamic mass and energy balances, supplemented with fuzzy submodels describing additional equations, such as mass transformation and transfer rates. In this paper, a structured approach for designing this type of model is presented. The modeling problem is reduced to several simpler problems, which are solved independently: hybrid model structure and subprocess determination, subprocess behavior estimation, identification and integration of the submodels to form the hybrid model. The hybrid model is interpretable and transparent. The approach is illustrated using data from a (simulated) fed-batch bioreactor.
From Page :
605
NaturalLanguageKeyword :
process modeling , Hybrid modeling , Identification , Fuzzy logic , optimization
JournalTitle :
Studia Iranica
To Page :
615
To Page :
615
Link To Document :
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