DocumentCode :
2663899
Title :
Hybrid, quantitative and qualitative process simulation by the generic bi-layered net model
Author :
Csukás, Béla ; Bánkuti, Gyöngyi
Author_Institution :
Inst. of Math. & Inf. Technol., Univ. of Kaposvar, Hungary
fYear :
2003
fDate :
4-6 Sept. 2003
Firstpage :
283
Lastpage :
288
Abstract :
The idea of the direct computer mapping (DCM) of process models, and the recently developed generic, bilayered net (GBN) model have been introduced. The method gives a common framework for the simulation of the hybrid (discrete & continuous, quantitative & qualitative) conservation and information processes. The GBN/DCM framework makes possible a new interpretation of the information processes, as well as the development of model based parallel SW/HW architectures. The application of the simulation method for intelligent signal processing is illustrated by the example of the model based diagnostics and control of a simulated moving bed unit. This method is based on the use of the simplest process model of the weakly isomorphic network structure, which learns from the detailed simulation trials, continuously.
Keywords :
discrete event simulation; hybrid simulation; parallel architectures; signal processing; computer architectures; direct computer mapping; generic bilayered net model; generic simulation; hybrid process simulation; information processes; intelligent signal processing; model-based diagnostics; simulated moving bed unit; weak isomorphic network structure; Analytical models; Biological system modeling; Chemical elements; Computational modeling; Computer simulation; Mathematical model; Mathematics; Physics computing; Risk analysis; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7864-4
Type :
conf
DOI :
10.1109/ISP.2003.1275853
Filename :
1275853
Link To Document :
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