Development of a meta-model for behavioral model representation and reuse Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/1z40kz135

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  • Behavioral modeling is increasingly an imperative component of system design as the systems under construction become more and more complex. Without behavioral modeling available to the modern designer, design and verification of these systems would be much more laborious. Additionally, with the increasing computational power of today's modeling and simulation computers, designers are able to analyze larger and more complex models quicker. Indeed, once the governing equations for a particular design problem are implemented, the computational techniques and computing power allow quick elicitation of viable solutions. However, development of governing equations is still a laborious process especially for those needed in the more conceptual design phases where little is known about the structure and final form of a system. To alleviate this problem, methods for the reuse of previously developed models are used to serve as a database from which designers can search through to find the models to serve their purpose. By reusing old models, designers can move from synthesis to analysis more quickly and ultimately have the ability to evaluate more conceptual solutions. Efforts made in this work are to develop a robust and efficient method for the representation of behavioral models to enable reuse. Proper representation is the key to quickly linking designers to the models in need. Functional representation is applied to behavioral models to increase representation and to serve as a link from the synthetic stages of design to analytic. Additionally, behavioral models always have assumption associated with them that limit their validity and range of use. The proposed methodology develops a method to store this information. Together, these two components comprise a new meta-model for behavioral model representation and reuse.
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