Design theoretic analysis of three system modeling frameworks.

McDonald, Michael James

Sandia National Laboratories

关键词: Horizontal Integration;    Complex Variables.;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Systems Analysis;    S Codes;   

DOI  :  10.2172/908075
RP-ID  :  SAND2007-1274
RP-ID  :  AC04-94AL85000
RP-ID  :  908075

美国|英语

来源: UNT Digital Library

【 摘 要 】

This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.