A credibility evaluation method for complex simulation systems based on interactive network analysis

被引：6
作者：
Li, Ni [1 ,2 ]
Dong, Liwei [1 ,2 ]
Zhao, Luming [2 ]
Gong, Guanghong [1 ,2 ]
Zhang, Xuen [1 ,2 ]
机构：
[1] Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源：
SIMULATION MODELLING PRACTICE AND THEORY | 2021年 / 110卷
基金：
中国国家自然科学基金;
关键词：
Complex simulation system; Credibility evaluation; Complex network; Interaction analysis; Path credibility; MODEL VALIDATION; PROPAGATION; VERIFICATION; UNCERTAINTY;
D O I：
10.1016/j.simpat.2021.102289
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The credibility evaluation method for a single simulation model is relatively mature at present. While there is still a great need to provide an effective credibility evaluation method for complex simulation systems, which is the basic premise to assist the design, test, evaluation and optimization of a complex research object based on constructing its simulation system. In this paper a credibility evaluation method for complex simulation systems based on the interaction analysis of their internal data is proposed. A directed weighted interaction network describing the interaction among models in a complex simulation system can be constructed. Further, based on the credibility of each simulation model and the network structure, we can quantitatively analyze their impacts on the overall credibility of the system. In order to verify the effectiveness of the method, we constructed a validation system based on the network structure of a multi-agent cooperative simulation system with known credibility. The evaluation result comparison showed that our method can provide a feasible way for the relatively accurate credibility analysis of complex simulation systems. Finally, our verified method was applied to evaluate the credibility of the complex hardware-in-the-loop simulation system composed with over 100 components, which provided a quantitative way instead of traditional qualitative evaluation by experts.
引用
收藏
页数：15
相关论文
共 61 条
  • [11] A framework for validation of computer models
    Bayarri, Maria J.
    Berger, James O.
    Paulo, Rui
    Sacks, Jerry
    Cafeo, John A.
    Cavendish, James
    Lin, Chin-Hsu
    Tu, Jian
    [J]. TECHNOMETRICS, 2007, 49 (02) : 138 - 154
  • [12] Bayarri MJ., 2005, BAYESIAN VALIDATION
  • [13] POWER-SYSTEM SIMULATION MODEL BASED ON PROBABILITY ANALYSIS
    BOOTH, RR
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1972, PA91 (01): : 62 - &
  • [14] Interactive image segmentation using label propagation through complex networks
    Breve, Fabricio
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 123 : 18 - 33
  • [15] Cai W.Z., 1999, ACTA SIMULATA SYSTEM
  • [16] A new approach for nuclear reactor analysis based on complex network theory
    Cervi, E.
    Cammi, A.
    Zio, E.
    [J]. PROGRESS IN NUCLEAR ENERGY, 2019, 112 : 96 - 106
  • [17] Chen J., 2011, P INT C EL INF CONTR, P232, DOI [10.1109/ICEICE.2011.5778078, DOI 10.1109/ICEICE.2011.5778078]]
  • [18] Model validation via uncertainty propagation and data transformations
    Chen, W
    Baghdasaryan, L
    Buranathiti, T
    Cao, J
    [J]. AIAA JOURNAL, 2004, 42 (07) : 1406 - 1415
  • [19] Chong C.Y., 2015, ANAL MAINTAINABILITY
  • [20] Cryer B.W., 1976, SAE T SAE PAPER, V760361, P1322
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