File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Knowledge-based control of a single-link flexible robot arm

TitleKnowledge-based control of a single-link flexible robot arm
Authors
KeywordsController Design
H∞ Control
Knowledge-Based Techniques
Neural Net
Robot Control
Issue Date1993
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 1993, v. 6 n. 2, p. 123-130 How to Cite?
AbstractThis paper presents the results of integrating knowledge-based techniques in the controller design of a single-link flexible robot arm. Knowledge in the use of the H∞ control design technique is stored in an expert system. Experience gathered by the user in the design process is stored in a database which is used for the training of a neural net. A supervised learning technique for large training sets is used by the artificial neural net. The artificial neural net is then used to adjust the design parameters of a specific controller structure. © 1993.
Persistent Identifierhttp://hdl.handle.net/10722/155469
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 1.749
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPang, GKHen_US
dc.contributor.authorRavichandran, Ten_US
dc.date.accessioned2012-08-08T08:33:39Z-
dc.date.available2012-08-08T08:33:39Z-
dc.date.issued1993en_US
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 1993, v. 6 n. 2, p. 123-130en_US
dc.identifier.issn0952-1976en_US
dc.identifier.urihttp://hdl.handle.net/10722/155469-
dc.description.abstractThis paper presents the results of integrating knowledge-based techniques in the controller design of a single-link flexible robot arm. Knowledge in the use of the H∞ control design technique is stored in an expert system. Experience gathered by the user in the design process is stored in a database which is used for the training of a neural net. A supervised learning technique for large training sets is used by the artificial neural net. The artificial neural net is then used to adjust the design parameters of a specific controller structure. © 1993.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.subjectController Designen_US
dc.subjectH∞ Controlen_US
dc.subjectKnowledge-Based Techniquesen_US
dc.subjectNeural Neten_US
dc.subjectRobot Controlen_US
dc.titleKnowledge-based control of a single-link flexible robot armen_US
dc.typeArticleen_US
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-43949169779en_US
dc.identifier.volume6en_US
dc.identifier.issue2en_US
dc.identifier.spage123en_US
dc.identifier.epage130en_US
dc.identifier.isiWOS:A1993KW19600005-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridPang, GKH=7103393283en_US
dc.identifier.scopusauthoridRavichandran, T=12141688900en_US
dc.identifier.issnl0952-1976-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats