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