Meta-domains for Automated System Identification
Abstract
We present a new knowledge representation and reasoning framework for modeling nonlinear dynamical systems. The goals of this framework are to smoothly incorporate varying levels of domain knowledge and to tailor the search space and the reasoning methods accordingly. In particular we introduce a new structure for automated model building known as a meta-domain which, when instantiated with domain-specific components tailors the space of candidate models to the system at hand. The xmission-line meta-domain, for instance, generalizes the notion of an electrical trans- mission line. It uses an iterative template to build models, and it may be easily customized into specific model-building domains, ranging from mechanical vibrations to thermal conduction. We combine this abstract modeling paradigm with ideas from generalized physical networks, a meta- level representation of idealized two-terminal elements, and a hierarchy of qualitative and quantitative analysis tools, to produce dynamic modeling domains whose complexity naturally adapts to the amount of available information about the target system.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 30, 2000
- Accession Number
- ADA444641
Entities
People
- Elizabeth Bradley
- Matthew Easley
Organizations
- University of Colorado Boulder