融合机理与数据的灰箱系统建模方法研究

doi:10.16182/j.issn1004731x.joss.19-FZ0315

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (12): 2575-2583.doi: 10.16182/j.issn1004731x.joss.19-FZ0315

融合机理与数据的灰箱系统建模方法研究

陈彬¹, 王小东², 王戎骁¹, 邱晓刚¹, 朱正秋¹, 马亮¹

1. 国防科技大学系统工程学院,湖南长沙 410073;
2. 海军902厂,上海 200083

收稿日期:2019-06-11 修回日期:2019-07-13 发布日期:2019-12-13
作者简介:陈彬(1981-),男,安徽芜湖,博士,副研究员,研究方向为基于ACP的仿真运行支撑、平行实验方法等。
基金资助:
国家重点研发计划重点专项资金(2018YF C0806900), 国家自然科学基金(71673292,71673294), 国家社会科学基金(17CGL047)

The Grey-box based Modeling Approach Research integrating Fusion Mechanism and Data

Chen Bin¹, Wang Xiaodong², Wang Rongxiao¹, Qiu Xiaogang¹, Zhu Zhengqiu¹, Ma Liang¹

1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
2. The 902 Naval 902 Factory, Shanghai 200083, China

Received:2019-06-11 Revised:2019-07-13 Published:2019-12-13

摘要/Abstract

摘要： 建模和仿真的方法逐渐已经可以解决复杂系统问题。对于符合牛顿物理定律的工程系统,通常采用机理建模的方式建立白箱模型,而对于系统内部结构和特性不明确时采用黑箱建模的方式,用基于数据和统计的建模方法来解决问题。讨论了白箱和黑箱建模方法存在的缺陷;提出一种融合机理和数据的灰箱建模方法,以大气污染物扩散建模为例,从白箱到灰箱和从黑箱到灰箱两个角度阐述如何解决实际问题。通过案例论证了灰箱建模方法的可行性和有效性,并展望未来工作。

关键词: 机理模型, 数据模型, 灰箱建模方法, 大气污染物扩散建模

Abstract: With the deep understanding of world, modeling and simulation have been used to solve the problems of complex systems. The simulation models are used to model the engineering systems which follow newton laws. The modeling approach is called white-box modeling, while the black-box modeling is used to model the systems of which the internal structure and characteristics are not clear. The black-box modeling is based on statistics and data modeling. This paper discusses the deficiencies of the white-box and black-box modeling approaches first. The Grey-box based modeling approach integrating both fusion mechanism and data model is proposed. In order to explain the idea of Grey-box based modeling, the atmosphere dispersion modeling is studied in the cases. The feasibility and effectiveness of the grey box modeling method are demonstrated through a case study and the future work is discussed.

Key words: Mechanism model, Data model, Grey-box modeling, Atmosphere Dispersion modeling

中图分类号:

TP391.9

陈彬, 王小东, 王戎骁, 邱晓刚, 朱正秋, 马亮. 融合机理与数据的灰箱系统建模方法研究[J]. 系统仿真学报, 2019, 31(12): 2575-2583.

Chen Bin, Wang Xiaodong, Wang Rongxiao, Qiu Xiaogang, Zhu Zhengqiu, Ma Liang. The Grey-box based Modeling Approach Research integrating Fusion Mechanism and Data[J]. Journal of System Simulation, 2019, 31(12): 2575-2583.

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融合机理与数据的灰箱系统建模方法研究

The Grey-box based Modeling Approach Research integrating Fusion Mechanism and Data

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