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Conference Paper: Intelligent planning and control for hybrid system

TitleIntelligent planning and control for hybrid system
Authors
Issue Date1998
Citation
IEEE International Conference on Intelligent Robots and Systems, 1998, v. 2, p. 972-977 How to Cite?
AbstractThe analytical and robust integration of low-level system sensing and simple control with high-level system behavior and perception is critical technology in the intelligent control of modern manufacturing systems. This paper presents a novel approach by using Max-Plus Algebra model and a newly designed event-based planning and control scheme to provide an advanced mechanism to efficiently integrate manufacturing systems, so that task scheduling, which usually deals with discrete events, as well as action planning/control, which usually deals with continuous dynamics, can be treated in a unified analytical model. More importantly, the interactions between discrete event systems and continuous dynamics are achieved, so that manufacturing systems are allowed to intelligently cope with unexpected system faults and uncertainties during well-scheduled tasks. A robotic manufacturing system is used to illustrate the proposed approach. The experimental results clearly demonstrate the advantages of the proposed approach.
Persistent Identifierhttp://hdl.handle.net/10722/212697

 

DC FieldValueLanguage
dc.contributor.authorTarn, Tzyh Jong-
dc.contributor.authorSong, Mumin-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:04:43Z-
dc.date.available2015-07-28T04:04:43Z-
dc.date.issued1998-
dc.identifier.citationIEEE International Conference on Intelligent Robots and Systems, 1998, v. 2, p. 972-977-
dc.identifier.urihttp://hdl.handle.net/10722/212697-
dc.description.abstractThe analytical and robust integration of low-level system sensing and simple control with high-level system behavior and perception is critical technology in the intelligent control of modern manufacturing systems. This paper presents a novel approach by using Max-Plus Algebra model and a newly designed event-based planning and control scheme to provide an advanced mechanism to efficiently integrate manufacturing systems, so that task scheduling, which usually deals with discrete events, as well as action planning/control, which usually deals with continuous dynamics, can be treated in a unified analytical model. More importantly, the interactions between discrete event systems and continuous dynamics are achieved, so that manufacturing systems are allowed to intelligently cope with unexpected system faults and uncertainties during well-scheduled tasks. A robotic manufacturing system is used to illustrate the proposed approach. The experimental results clearly demonstrate the advantages of the proposed approach.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Intelligent Robots and Systems-
dc.titleIntelligent planning and control for hybrid system-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0032316110-
dc.identifier.volume2-
dc.identifier.spage972-
dc.identifier.epage977-

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