Abstract
Simulation credibility is an effective means to measure the effectiveness and correctness of simulation, and it is the cornerstone of simulation. According to the uncertainty of physical effect model and the complex interaction of model information in aircraft HWIL simulation system, The idea of time-varying directed weighted network and uncertainty measurement is introduced into the process of credibility evaluation of simulation system based on complex network and credibility evaluation theory; the credibility evaluation model of time-varying topological structure based on uncertainty measurement of model information interaction is established to quantitatively evaluate the credibility of simulation system. Taking a typical HWIL simulation system as an example, the effectiveness of the credibility evaluation method of simulation system based on complex network is fully tested.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wei, Z.M., Fan, Z., Chen, Y.W.: A lower and upper bound method for complex system credibility evaluation. J. Donghua Univ. 28(5) (2011)
Li, L., Wang, Y., Jia, L., et al.: Credibility evaluation for complex system based on connectivity reliability of network model. In: International Conference on Logistics, Informatics and Service Sciences. IEEE (2015)
Zhao, X., Xie, Z.: Credibility evaluation based on the multiple source information fusion technology. In: International Conference on Computational and Information Sciences, pp. 406–409 (2011)
Wang, Y., Yang, J., Lu, D., et al.: Credibility Evaluation Method of Complex Simulation System Based on Cloud Model. J. Ship Electron. Eng. 34(9), 86–91 (2014)
Wang, S., Wu, D., Qu, Li., et al.: Research on credibility evaluation framework of complex simulation system. J. Comput. Simul. 04, 116–122 (2012)
Yang, H.Z., Kang, F.J., Li, J.: Application of analytic hierarchy process in credibility evaluation of underwater vehicle system simulation 1410, 1299–1301 (2002)
Zhang, W., Wang, X.R.: Fuzzy evaluation of simulation credibility. J. Syst. Simul. 134, 473–475 (2002)
Liu, S., Liu, X., Zhang, W.: Quantitative evaluation of simulation system credibility based on similarity. J. Syst. Simul. 142, 143–145 (2002)
Martens, J., Put, F., Kerre, E.: A fuzzy-neural resemblance approach to validate simulation models. Soft Comput. 113, 299–307 (2007)
Martens, J., Put, F., Kerre, E.: A fuzzy set theoretic approach to validate simulation models. ACM Trans. Modeling Comput. Simul. 164, 375–398 (2006)
Martens, J., Pauwels, K., Put, F.: A neural network approach to the validation of simulation models. In: Proceedings of the 2006 Winter Simulation Conference, Monterey, USA, pp. 905–910 (2006)
Liu, F., Ma, P., Yang, M., et al.: Quantitative research on reliability of complex simulation system. J. Harbin Institute Technol. 39, 1–3 (2007)
Fang, K., Wang, Z.: Research on CES network method for reliability evaluation of simulation system. Control Decis. Makin. 265, 737–742 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Huapin, G., Ni, L. (2022). Research on Intelligent Credibility Evaluation Method of Aircraft HWIL Simulation System Based on Complex Network. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-16-6320-8_85
Download citation
DOI: https://doi.org/10.1007/978-981-16-6320-8_85
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6319-2
Online ISBN: 978-981-16-6320-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)