Title :
Uncertain hierarchical modeling
Author :
Khatri, Sven ; Andrea, Raff D´ ; Doyle, John
Author_Institution :
Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
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;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574346