Analysis of Initialization Variables Selection in Multi-Domain Modeling

Authors

Guangyuan Li, Chongqing University of Arts and Sciences, Chongqing 402160, China;

Abstract

Abstract: In multi-domain modeling, the problem of initial consistency must be settled to solve differential algebraic equations (DAEs). Structural analysis is capable of verifying the initial consistency, solving some initial values and determining the degree of freedom, but not capable of affirming the variables that need to be initialized. If improper selection is made for the initiation variables, it will become low efficient and even fail to solve and simulate the model. After analyzing the initial consistency of DAEs, a strategy based on DM decomposition is proposed for selecting the initialization variables. The method decomposes the system into two parts with the use of DM decomposition after the system is structurally analyzed. By analyzing the reachability of under constraint part, the initialization variables can be affirmed. This method is efficient to affirm the initialization variables and avoids wrong selections.

Recommended Citation

Li, Guangyuan (2019) "Analysis of Initialization Variables Selection in Multi-Domain Modeling," Journal of System Simulation: Vol. 31: Iss. 7, Article 8.
DOI: 10.16182/j.issn1004731x.joss.19-0014
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss7/8

First Page

1313

Revised Date

2019-03-10

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0014

Last Page

1320

CLC

TP391.9

Recommended Citation

Li Guangyuan. Analysis of Initialization Variables Selection in Multi-Domain Modeling[J]. Journal of System Simulation, 2019, 31(7): 1313-1320.

DOI

10.16182/j.issn1004731x.joss.19-0014