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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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