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Article: Intelligent control: Analytical integration of hybrid system

TitleIntelligent control: Analytical integration of hybrid system
Authors
Issue Date1998
Citation
Proceedings of the IEEE Conference on Decision and Control, 1998, v. 3, p. 2621-2626 How to Cite?
AbstractThis paper presents a novel approach for solving the grand challenging problem in intelligent control, i.e. the analytical and robust integration of low-level system sensing and simple control with high-level system behavior and perception. The proposed Max-Plus Algebra model combined with event-based planning and control provides an advanced mechanism to efficiently integrate task scheduling, sensing, planning and real-time execution so that task scheduling, which usually deals with discrete events, as well as action planning, which usually deals with continuous events, can be treated in a unified analytical model, and the design of task synchronization becomes much easier. More importantly, the state-of-art characteristic of this approach is that interactions between discrete and continuous events can be considered in a unified framework. This characteristic allows an automated system to intelligently cope with unexpected events and uncertainties during well-scheduled tasks so that the efficiency and reliability of the task schedule and action synchronization can increase significantly. 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/10722/212694
ISSN

 

DC FieldValueLanguage
dc.contributor.authorSong, Mumin-
dc.contributor.authorTarn, Tzyh Jong-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:04:43Z-
dc.date.available2015-07-28T04:04:43Z-
dc.date.issued1998-
dc.identifier.citationProceedings of the IEEE Conference on Decision and Control, 1998, v. 3, p. 2621-2626-
dc.identifier.issn0191-2216-
dc.identifier.urihttp://hdl.handle.net/10722/212694-
dc.description.abstractThis paper presents a novel approach for solving the grand challenging problem in intelligent control, i.e. the analytical and robust integration of low-level system sensing and simple control with high-level system behavior and perception. The proposed Max-Plus Algebra model combined with event-based planning and control provides an advanced mechanism to efficiently integrate task scheduling, sensing, planning and real-time execution so that task scheduling, which usually deals with discrete events, as well as action planning, which usually deals with continuous events, can be treated in a unified analytical model, and the design of task synchronization becomes much easier. More importantly, the state-of-art characteristic of this approach is that interactions between discrete and continuous events can be considered in a unified framework. This characteristic allows an automated system to intelligently cope with unexpected events and uncertainties during well-scheduled tasks so that the efficiency and reliability of the task schedule and action synchronization can increase significantly. 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.ispartofProceedings of the IEEE Conference on Decision and Control-
dc.titleIntelligent control: Analytical integration of hybrid system-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0032273928-
dc.identifier.volume3-
dc.identifier.spage2621-
dc.identifier.epage2626-

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