文章基本信息

标题：MBSE with/out Simulation: State of the Art and Way Forward
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作者：Bernard P. Zeigler ; Saurabh Mittal ; Mamadou Kaba Traore 等
期刊名称：Systems
电子版ISSN：2079-8954
出版年度：2018
卷号：6
期号：4
页码：40-57
DOI：10.3390/systems6040040
出版社：MDPI Publishing
摘要：The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.
关键词：modeling and simulation; discrete event system specification; DEVS; model-based system engineering; MBSE; internet of things; IoT; cyber physical systems; CPS; complex adaptive systems of systems modeling and simulation ; discrete event system specification ; DEVS ; model-based system engineering ; MBSE ; internet of things ; IoT ; cyber physical systems ; CPS ; complex adaptive systems of systems