Hierarchical Structural Analysis Method for Complex Equation-Oriented Models
Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis. However, the large-scale equations in complex models make structural analy...
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2021
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oai:doaj.org-article:58e358c8d31a43ff8738fe237c7adb802021-11-11T18:14:05ZHierarchical Structural Analysis Method for Complex Equation-Oriented Models10.3390/math92126602227-7390https://doaj.org/article/58e358c8d31a43ff8738fe237c7adb802021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2660https://doaj.org/toc/2227-7390Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis. However, the large-scale equations in complex models make structural analysis difficult. Aimed to address the issue, this study proposes a hierarchical structural analysis method by exploring the relationship between the singularities of the hierarchical equation-oriented model and its components. This method obtains the singularity of a hierarchical equation-oriented model by analyzing a dummy model constructed with the parts from the decomposing results of its components. Based on this, the structural singularity of a complex model can be obtained by layer-by-layer analysis according to their natural hierarchy. The hierarchical structural analysis method can reduce the equation scale in each analysis and achieve efficient structural analysis of very complex models. This method can be adaptively applied to nonlinear-algebraic and differential-algebraic equation models. The main algorithms, application cases and comparison with the existing methods are present in this paper. The complexity analysis results show the enhanced efficiency of the proposed method in the structural analysis of complex equation-oriented models. Compared with the existing methods, the time complexity of the proposed method is improved significantly.Chao WangLi WanTifan XiongYuanlong XieShuting WangJianwan DingLiping ChenMDPI AGarticleequation-oriented modelsmodel checkstructural analysisnonlinear-algebraic equation modeldifferential-algebraic equation modelMathematicsQA1-939ENMathematics, Vol 9, Iss 2660, p 2660 (2021) |
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equation-oriented models model check structural analysis nonlinear-algebraic equation model differential-algebraic equation model Mathematics QA1-939 |
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equation-oriented models model check structural analysis nonlinear-algebraic equation model differential-algebraic equation model Mathematics QA1-939 Chao Wang Li Wan Tifan Xiong Yuanlong Xie Shuting Wang Jianwan Ding Liping Chen Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
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Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis. However, the large-scale equations in complex models make structural analysis difficult. Aimed to address the issue, this study proposes a hierarchical structural analysis method by exploring the relationship between the singularities of the hierarchical equation-oriented model and its components. This method obtains the singularity of a hierarchical equation-oriented model by analyzing a dummy model constructed with the parts from the decomposing results of its components. Based on this, the structural singularity of a complex model can be obtained by layer-by-layer analysis according to their natural hierarchy. The hierarchical structural analysis method can reduce the equation scale in each analysis and achieve efficient structural analysis of very complex models. This method can be adaptively applied to nonlinear-algebraic and differential-algebraic equation models. The main algorithms, application cases and comparison with the existing methods are present in this paper. The complexity analysis results show the enhanced efficiency of the proposed method in the structural analysis of complex equation-oriented models. Compared with the existing methods, the time complexity of the proposed method is improved significantly. |
format |
article |
author |
Chao Wang Li Wan Tifan Xiong Yuanlong Xie Shuting Wang Jianwan Ding Liping Chen |
author_facet |
Chao Wang Li Wan Tifan Xiong Yuanlong Xie Shuting Wang Jianwan Ding Liping Chen |
author_sort |
Chao Wang |
title |
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
title_short |
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
title_full |
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
title_fullStr |
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
title_full_unstemmed |
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models |
title_sort |
hierarchical structural analysis method for complex equation-oriented models |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/58e358c8d31a43ff8738fe237c7adb80 |
work_keys_str_mv |
AT chaowang hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT liwan hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT tifanxiong hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT yuanlongxie hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT shutingwang hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT jianwanding hierarchicalstructuralanalysismethodforcomplexequationorientedmodels AT lipingchen hierarchicalstructuralanalysismethodforcomplexequationorientedmodels |
_version_ |
1718431886723776512 |