Symbolic diagnosis for intelligent control

dc.creatorPainter, John H.
dc.creatorJowers, S.
dc.date.accessioned2010-02-18T21:36:56Z
dc.date.available2010-02-18T21:36:56Z
dc.date.issued1988-08-24
dc.description©1988 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractThe results of research intended to create a symbolic diagnostician to support intelligent control of numerical processors and/or processes are reported. Example applications include real-time signal processors, industrial automation, and aerospace power systems. The approach is to create a generic, symbolic inference engine to interpret data from real-time numerical processes. The interpreted data are then utilized by companion symbolic and numeric modules resulting in a dynamic, intelligent real-time control architecture. General results are obtained while focusing research efforts on an initial target application-a software-intensive radio receiver/processor. Object-oriented programming techniques are used due to ease of knowledge engineering and potential parallels to hardware implementation.en
dc.identifier.citationJowers, S., Painter, J.H. (1988). Symbolic diagnosis for intelligent control. Proceedings of the IEEE International Symposium on Intelligent Control, 1988: 280-285.en
dc.identifier.isbn0-8186-2012-9
dc.identifier.uri10.1109/ISIC.1988.65444
dc.identifier.urihttps://hdl.handle.net/1969.1/90477
dc.language.isoen_US
dc.publisherIEEE
dc.subjectcomputerised signal processingen
dc.subjectcontrol engineering computingen
dc.subjectknowledge engineeringen
dc.subjectobject-oriented programmingen
dc.subjectsymbol manipulationen
dc.subjecttelecommunications computingen
dc.titleSymbolic diagnosis for intelligent controlen
dc.typeArticleen
local.departmentAerospace Engineeringen

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