Journal of System Simulation
Abstract
Abstract: The traditional model-based systems engineering (MBSE) method has problems of failing to fully exhibit complex combat logics in manned-unmanned collaborative combat system modeling, neglecting the scenario constraints in interface modeling, and requiring long-term and costly algorithm verification. In order to solve the problems, a methodology and design tool based on MBSE was proposed. An integrated verification method of a system's operational logic, interface design, and algorithmic design was constructed, thus providing a digital and rapidly iterative verification approach for system simulation. A verification environment for multiple key algorithm simulations was established, effectively reducing the economic cost of building verification environments. The design and verification practices were completed in a typical manned-unmanned collaborative combat system. By integrating the MBSE design tool Modelook and the battlefield simulation design tool, the method enabled the integrated verification of the system's operational logic, data interaction models, and key algorithm models described by SysML. Experimental results demonstrate that this method can provide the system with a digital, low-cost, and agile iterative model simulation verification early in the design phase, enhancing comprehensive capabilities of digital prototype from a functional logic level to a level integrating functional logic and key algorithms.
Recommended Citation
Wang, Fangbo; Guo, Jian; Du, Chenglie; Liu, Yifan; and Zhang, Pengpeng
(2026)
"Design and Verification of Manned-unmanned Collaborative Combat Capability System Based on MBSE,"
Journal of System Simulation: Vol. 38:
Iss.
3, Article 19.
DOI: 10.16182/j.issn1004731x.joss.25-0007
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss3/19
First Page
800
Last Page
807
CLC
TP391.9
Recommended Citation
Wang Fangbo, Guo Jian, Du Chenglie, et al. Design and Verification of Manned-unmanned Collaborative Combat Capability System Based on MBSE[J]. Journal of System Simulation, 2026, 38(3): 800-807.
DOI
10.16182/j.issn1004731x.joss.25-0007
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons