System of Systems Engineering Approach for Complex Deterministic and Nondeterministic Systems (ACDANS)

被引:0
|
作者
Hershey, Paul [1 ]
机构
[1] Raytheon Technol, Dulles, VA 20166 USA
关键词
Modeling and Simulation; Complexity; System of Systems; Deterministic; /; Nondeterministic; Multi-Domain; Machine Learning; Reinforcement Learning;
D O I
10.1109/SOSE52739.2021.9497496
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As new commercial and military systems evolve, engineers face significant challenges that require solutions beyond traditional systems engineering. For example, military commanders recognize that in order to confront threats from high-tech adversaries, an advanced system of systems (SoS) is required to coordinate combat across multiple battlefield domains: land, sea, air, space, and cyberspace. System of Systems Engineering (SoSE), along with associated Modeling and Simulation (M&S) tools, can fill some of this need, especially for operational decision-support for complex multi-domain environments. This paper presents an M&S-based SoSE approach for complex SoS composed of deterministic and non-deterministic subsystems supported with reinforcement learning. The paper presents this new methodology, use cases, and preliminary results that address specific SoS challenges for a set of complex decision-support challenges.
引用
收藏
页码:185 / 190
页数:6
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