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A unifying framework for systems modeling, control systems design, and system operationCurrent engineering practice in the analysis and design of large-scale multi-disciplinary control systems is typified by some form of decomposition- whether functional or physical or discipline-based-that enables multiple teams to work in parallel and in relative isolation. Too often, the resulting system after integration is an awkward marriage of different control and data mechanisms with poor end-to-end accountability. System of systems engineering, which faces this problem on a large scale, cries out for a unifying framework to guide analysis, design, and operation. This paper describes such a framework based on a state-, model-, and goal-based architecture for semi-autonomous control systems that guides analysis and modeling, shapes control system software design, and directly specifies operational intent. This paper illustrates the key concepts in the context of a large-scale, concurrent, globally distributed system of systems: NASA's proposed Array-based Deep Space Network.
Document ID
20060042636
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Dvorak, Daniel L.
Indictor, Mark B.
Ingham, Michel D.
Rasmussen, Robert D.
Stringfellow, Margaret V.
Date Acquired
August 23, 2013
Publication Date
October 1, 2005
Meeting Information
Meeting: IEEE Systems, Man, and Cybernetics
Location: Waikoloa, HI
Country: United States
Start Date: October 9, 2005
End Date: October 12, 2005
Distribution Limits
Public
Copyright
Other
Keywords
systems modeling
human machine systems

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