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Uncertain hierarchical modeling

Khatri, Sven and D’Andrea, Raff and Doyle, John (1996) Uncertain hierarchical modeling. In: Proceedings of 35th IEEE Conference on Decision and Control. Vol.1. IEEE , Piscataway, NJ, pp. 412-417. ISBN 0-7803-3590-2.

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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.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Doyle, John0000-0002-1828-2486
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.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Department of Energy (DOE)UNSPECIFIED
Subject Keywords:Hierarchical modeling, uncertainty, implicit systems
Record Number:CaltechAUTHORS:20190318-101348405
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Official Citation:S. Khatri, R. D'Andrea and J. Doyle, "Uncertain hierarchical modeling," Proceedings of 35th IEEE Conference on Decision and Control, Kobe, Japan, 1996, pp. 412-417 vol.1. doi: 10.1109/CDC.1996.574346
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93915
Deposited By: Tony Diaz
Deposited On:18 Mar 2019 17:59
Last Modified:16 Nov 2021 17:01

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