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System of systems modelling and simulation -an outlook and open issues

机译:系统建模与仿真系统-展望与未解决的问题

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摘要

System of systems (SoS) engineering is an emerging sub-discipline, within which modelling and simulation is a key area. The failure of many SoS endeavours can be attributed to the inappropriate application of systems engineering processes, including modelling approaches. Selection of suitable modelling approaches is critical to ensuring representative models are created, ensuring reliable SoS analysis and prediction of emergent behaviour is possible. Essential to SoS modelling is the dynamic element, enabling the generation of emergent behaviour, appropriate approaches including; discrete event system specification, Petri nets, agent-based modelling and system dynamics. Bayesian belief networks, Markov models and game theory provide a static probabilistic approach, suitable for strategic, decision and risk models. Enterprise architecture frameworks and modelling languages are typically used for static modelling of SoS. A combination of static and dynamic approaches should be utilised, providing a range of perspectives, giving an insight into the complexity inherent in all SoS.
机译:系统系统(SoS)工程是一个新兴的子学科,在其中,建模和仿真是一个关键领域。许多SoS努力的失败都可以归因于系统工程流程(包括建模方法)的不适当应用。选择合适的建模方法对于确保创建代表性模型,确保可靠的SoS分析和紧急行为的预测至关重要。对SoS建模至关重要的是动态元素,可以生成紧急行为,包括以下适当方法:离散事件系统规范,Petri网,基于代理的建模和系统动力学。贝叶斯信念网络,马尔可夫模型和博弈论提供了适用于战略,决策和风险模型的静态概率方法。企业体系结构框架和建模语言通常用于SoS的静态建模。应该使用静态和动态方法的组合,提供多种视角,从而洞悉所有SoS固有的复杂性。

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