Abstract
Modeling engineering systems requires creativity and ingenuity, and therefore involves steps that are hardly suitable for automation. However, these steps are complemented by a multitude of routine tasks. Automation of these routine tasks, if tailored to complement non-automated tasks, allows the modeler to focus on the creative and innovative aspects of modeling and design.
To this end, three important principles for automated modeling have been formulated and incorporated in the MAX (Modeling and Analysis eXpert) system:
– The polymorphic modeling concept provides hierarchical models, in which each subsystem consists of a type, defining essential properties, and a specification, defining incidental properties. Subsystem types can be organized hierarchically in a library, and each type can have multiple specifications.
– Information about a model is processed using multiple formulations. Different formulations of one model can be used simultaneously. The task at hand determines which formulation is appropriate for inspection and manipulation.
– By embedding equations in networks in an intuitively appealing way, MAX provides the same kind of support for network models and equation models.
The utility of these concepts is demonstrated in a case study involving a fourth order servo system.
To this end, three important principles for automated modeling have been formulated and incorporated in the MAX (Modeling and Analysis eXpert) system:
– The polymorphic modeling concept provides hierarchical models, in which each subsystem consists of a type, defining essential properties, and a specification, defining incidental properties. Subsystem types can be organized hierarchically in a library, and each type can have multiple specifications.
– Information about a model is processed using multiple formulations. Different formulations of one model can be used simultaneously. The task at hand determines which formulation is appropriate for inspection and manipulation.
– By embedding equations in networks in an intuitively appealing way, MAX provides the same kind of support for network models and equation models.
The utility of these concepts is demonstrated in a case study involving a fourth order servo system.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ASME Dynamic Systems and Control Division |
| Subtitle of host publication | presented at the 1995 ASME International Mechanical Engineering Congress and Exposition, November 12-17, 1995, San Francisco, California |
| Editors | Thomas E. Alberts |
| Place of Publication | San Francisco, CA |
| Publisher | American Society of Mechanical Engineers (ASME) |
| Pages | 421-430 |
| Number of pages | 10 |
| ISBN (Print) | 0-7918-1746-6 |
| Publication status | Published - 17 Nov 1995 |
Publication series
| Name | DSC |
|---|---|
| Publisher | American Society of Mechanical Engineers |
| Volume | 57 |