[1] |
Rajkumar R R, Lee I, Sha L, et al. 44.1 Cyber-physical systems: The next computing revolution[C]. Anaheim: Proceedings of the Forty-seventh Design Automation Conference, 2010.
|
[2] |
Ma Z, Fu X, Yu Z. Object-oriented petri nets based formal modeling for high-confidence cyber-physical systems[C]. Shanghai: The Eighth International Conference on Wireless Communications, Networking and Mobile Computing, 2012.
|
[3] |
Basile D, Chiaradonna S, Giandomenico F D, et al. Stochastic model-based analysis of energy consumption in a rail road switch heating system[C]. Paris:The Seventh International Workshop,Serene 2015,Springer, Cham, 2015.
|
[4] |
Chen X, Gu F, Chen M, et al. Evaluating energy consumption for cyber-physical energy system: An environment ontology-based approach[C]. Taichung: The Thirth-ninth Annual Computer Software and Applications Conference, 2015.
|
[5] |
Phillip R, Christian E, Peter W, et al. Worst-case energy-consumption analysis by microarchitecture-aware timing analysis for device-driven cyber-physical systems[C]. Stuttgart: The Nineteenth International Workshop on Worst-Case Execution Time Analysis,Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2019.
|
[6] |
Gang H, Yinfeng B, Kuanjiu Z, et al. Energy consumption analysis method of CPS software based on architecture modeling[C]. Dalian:The Ninth International Conference on Frontier of Computer Science and Technology, 2015.
|
[7] |
张广泉, 张侃, 祝义, 等. 基于体系结构能耗建模的CPS软件可信性评估方法[J]. 电子学报, 2013,41(11):2270-2275.
|
|
Zhang Guangquan, Zhang Kan, Zhu Yi, et al. Trustworthiness evaluation method for CPS software based on software architecture energy consumption modeling[J]. Acta Electronica Sinica, 2013,41(11):2270-2275.
|
[8] |
张晶, 王中正, 范洪博. 基于随机Petri网的嵌入式软件能耗模型[J]. 计算机工程, 2017,43(9):316-321.
|
|
Zhang Jing, Wang Zhongzheng, Fan Hongbo. Energy consumption model of embedded software based on stochastic petri net[J]. Computer Engineering, 2017,43(9):316-321.
|
[9] |
Petri C A. Kommunikation mit Automaten[D]. Bonn:University Bonn, 1962.
|
[10] |
Ahmad F, Huang H, Wang X. Analysis of the Petri net model of parallel manufacturing processes with shared resources[J]. Information Sciences, 2011,181(23):5249-5266.
doi: 10.1016/j.ins.2011.07.034
|
[11] |
苏国军, 汪雄海. 半导体制造系统改进Petri网模型的建立及优化调度[J]. 系统工程理论与实践, 2011,31(7):1372-1377.
|
|
Su Guojun, Wang Xionghai. Optimal scheduling of semiconductor manufacture system based on improved Petri net model[J]. Systems Engineering-Theory & Practice, 2011,31(7):1372-1377.
|
[12] |
何炎祥, 沈华. 随机Petri网模型到马尔可夫链的转换规则与实现[J]. 计算机科学与探索, 2013,7(1):55-62.
|
|
He Yanxiang, Shen Hua. Rules and implementation of converting stochastic Petri net model to Markov Chain[J]. Journal of Frontiers of Computer Science and Technology, 2013,7(1):55-62.
|
[13] |
Durrett R. Probability:Theory and examples[M].3rd ed. Cambridge: Cambridge University Press, 2005.
|
[14] |
Klir G J, Folger T A. Fuzzy sets, uncertainty, and information[M]. Upper Saddle River:Prentice Hall, 1990.
|
[15] |
Wang J, Ding D, Liu O, et al. A synthetic method for knowledge management performance evaluation based on triangular fuzzy number and group support systems[J]. Applied Soft Computing, 2015,39(C):11-20.
doi: 10.1016/j.asoc.2015.09.041
|
[16] |
高岩, 周德群, 刘晨琛, 等. 基于关联的三角模糊数直觉模糊集成算子及其应用[J]. 系统工程理论与实践, 2012,32(9):1964-1972.
|
|
Gao Yan, Zhou Dequn, Liu Chenchen, et al. Triangular fuzzy number intuitionistic fuzzy aggregation operators and their application base on interaction[J]. Systems Engineering-Theory & Practice, 2012,32(9):1964-1972.
|
[17] |
张爱武. 系数为LR型模糊数的模糊回归模型的参数估计[J]. 模糊系统与数学, 2016,27(6):140-147.
|
|
Zhang Aiwu. Parameters estimation of the fuzzy regressive model with LR typed fuzzy coefficients[J]. Fuzzy Systems and Mathematics, 2016,27(6):140-147.
|
[18] |
Tüysüz F, Kahraman C. Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters[J]. Expert Systems with Applications, 2010,37(5):3910-3920.
doi: 10.1016/j.eswa.2009.11.026
|
[19] |
郭真林, 桑楠, 江维, 等. 基于LabVIEW的嵌入式软件能耗测量方法[J]. 计算机工程, 2013,39(1):85-88.
|
|
Guo Zhenlin, San Nan, Jiang Wei, et al. LabVIEW-based measurement method of energy consumption for embedded software[J]. Computer Engineering, 2013,39(1):85-88.
|