Published December 1996 | Version Published
Book Section - Chapter Open

Uncertain hierarchical modeling

  • 1. ROR icon California Institute of Technology

Abstract

For modeling complex systems, it is natural to reduce the system into subsystems and model each subsystem. The approach taken in this paper is that it is desired that a model should be consistent with the modeling methodology. Further it is important to explicitly represent the inaccuracies of the model as part of the model. Within this paper, uncertain hierarchical modeling is further motivated. A hierarchy, interconnection structure, and a fundamental component data type are proposed and the choices motivated. The framework is proposed with the intention of being implemented on a computer and having a family of models of different resolution representing a system.

Additional Information

© 1996 IEEE. This work was supported by AFOSR and the Computational Science Graduate Fellowship Program of the Office of Scientific Computing in the Department of Energy.

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Eprint ID
93915
Resolver ID
CaltechAUTHORS:20190318-101348405

Funding

Air Force Office of Scientific Research (AFOSR)
Department of Energy (DOE)

Dates

Created
2019-03-18
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Updated
2023-03-16
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