Management of continuous system models in DEVS-SCHEME: Time windows for event-based control
| dc.contributor.advisor | Cellier, Francois E. | en_US |
| dc.contributor.author | Wang, Qingsu, 1952- | |
| dc.creator | Wang, Qingsu, 1952- | en_US |
| dc.date.accessioned | 2013-05-16T09:48:18Z | en |
| dc.date.available | 2013-05-16T09:48:18Z | en |
| dc.date.issued | 1989 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/291950 | en |
| dc.description.abstract | This thesis describes the design and implementation of an extended knowledge-based modeling and simulation environment, in which the management of continuous-time models in DEVS-SCHEME is realized to meet the requirements of the modeling and simulation of a robot-managed laboratory aboard the forthcoming Space Station Freedom. The modular hierarchical modeling scheme is preserved in the continuous models by using DYMOLA, a continuous modeling language, as a bridge between the abstracted DEVS models and the continuous simulation language code (in DESIRE). Through operations on the System Entity Structure (SES), a knowledge representation scheme, models at different granularity levels are generated. Time-windows can be obtained by manipulating a pruned SES. These time windows can be used to generate an equivalent discrete-event model at a coarser granularity. Therefore, an event-based intelligent control strategy can be realized in this knowledge-based multi-facetted modeling environment. Continuous-time and discrete-event modeling and simulation can be merged with AI techniques. | |
| dc.language.iso | en_US | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Robots -- Control systems. | en_US |
| dc.subject | Space stations -- Equipment and supplies. | en_US |
| dc.title | Management of continuous system models in DEVS-SCHEME: Time windows for event-based control | en_US |
| dc.type | text | en_US |
| dc.type | Thesis-Reproduction (electronic) | en_US |
| dc.identifier.oclc | 23677541 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | masters | en_US |
| dc.identifier.proquest | 1339236 | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.discipline | Electrical and Computer Engineering | en_US |
| thesis.degree.name | M.S. | en_US |
| dc.identifier.bibrecord | .b17657131 | en_US |
| refterms.dateFOA | 2018-06-16T17:46:16Z | |
| html.description.abstract | This thesis describes the design and implementation of an extended knowledge-based modeling and simulation environment, in which the management of continuous-time models in DEVS-SCHEME is realized to meet the requirements of the modeling and simulation of a robot-managed laboratory aboard the forthcoming Space Station Freedom. The modular hierarchical modeling scheme is preserved in the continuous models by using DYMOLA, a continuous modeling language, as a bridge between the abstracted DEVS models and the continuous simulation language code (in DESIRE). Through operations on the System Entity Structure (SES), a knowledge representation scheme, models at different granularity levels are generated. Time-windows can be obtained by manipulating a pruned SES. These time windows can be used to generate an equivalent discrete-event model at a coarser granularity. Therefore, an event-based intelligent control strategy can be realized in this knowledge-based multi-facetted modeling environment. Continuous-time and discrete-event modeling and simulation can be merged with AI techniques. |
