Design theoretic analysis of three system modeling frameworks.

Technical Report · Tue May 01 00:00:00 EDT 2007

DOI:https://doi.org/10.2172/908075· OSTI ID:908075

McDonald, Michael James

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.

• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 908075
• Report Number(s): SAND2007-1274; TRN: US200722%%184
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
HORIZONTAL INTEGRATION
COMPARATIVE EVALUATIONS
SYSTEMS ANALYSIS
VERTICAL INTEGRATION
M CODES
S CODES
U CODES
AIRCRAFT
ROBOTS
Simulation and Modeling
Coupled problems (Complex systems)-Mathematical models.
Unmanned vehicle
Complex variables.
Data modeling.