Hybrid, quantitative and qualitative process simulation by the generic bi-layered net model

B. Csukás, G. Bánkuti
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引用次数: 3

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.
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采用通用的双层网络模型进行混合、定量和定性的过程模拟
介绍了过程模型的直接计算机映射(DCM)思想和最近发展起来的通用的双层网络(GBN)模型。该方法为混合(离散与连续、定量与定性)守恒和信息过程的仿真提供了一个通用框架。GBN/DCM框架使对信息过程的新解释以及基于模型的并行软件/硬件体系结构的开发成为可能。以某移动床单元的仿真诊断与控制为例,说明了仿真方法在智能信号处理中的应用。该方法基于使用弱同构网络结构的最简单过程模型,从详细的仿真试验中不断学习。
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