Uncertain hierarchical modeling

Author

Khatri, Sven ; Andrea, Raff D´ ; Doyle, John

Author_Institution

Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA

Volume

1

fYear

1996

fDate

11-13 Dec 1996

Firstpage

412

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

Keywords

abstract data types; digital simulation; large-scale systems; modelling; tree data structures; uncertain systems; complex systems; fundamental component data type; inaccuracies; interconnection structure; subsystems; uncertain hierarchical modeling; Control system synthesis; Cooling; Engines; Equations; Exhaust systems; Object oriented modeling; Reduced order systems; System performance; Tree data structures; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.574346

Filename

574346