Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/1653
Title: Object oriented real time asynchronous production systems
Researcher: Tolety, Siva Perraju
Guide(s): Prasad , B E
Upload Date: 28-Mar-2011
University: University of Hyderabad
Completed Date: 1993
Abstract: Real time domains like aerospace, military, and process monitoring require expert systems to possess capabilities for handling continuous streams of data, temporal knowledge and provide reactive response. Traditional expert systems fail to meet these requirements. In this thesis, techniques for temporal data and knowledge representation, continuous reasoning, matching and interference analysis for multiple rule firing are developed. An object oriented real time asynchronous production system architecture based on an extended Petri net model, incorporating the above techniques is proposed. Data in real time domains are multi faceted. A structured and efficient data management scheme is required to capture the semantics of real time data. Knowledge about temporal events and their relationships has to be represented in real time expert systems. This requires a suitable representation formalism. A unified object oriented data and knowledge representation scheme which can capture these properties is presented. An augmented rule structure is defined to represent knowledge about temporal properties. Three rule types viz. Autonomous rules, Clock Synchronised mrules and Spanning rules are defined to represent different kinds of knowledge. Clock synchronised rules represent knowledge about temporal relationships between events. Spanning rules pertain to trends in historical data. The reactive response behaviour of real time expert systems, depend on the efficiency of the reasoning process. Since data is continuously arriving the latest data values invalidate the earlier data values. This property is used in the design of the REX match algorithm. The evaluation of the premises in the rule base is modelled as Select and Join operations on the working memory.
Pagination: 182p.
URI: http://hdl.handle.net/10603/1653
Appears in Departments:Department of Computer & Information Sciences

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02_certificate.pdf20.72 kBAdobe PDFView/Open
03_declaration.pdf13.53 kBAdobe PDFView/Open
04_dedication.pdf12.97 kBAdobe PDFView/Open
05_acknowledgement.pdf20.51 kBAdobe PDFView/Open
06_abstract.pdf19.86 kBAdobe PDFView/Open
07_table of contents.pdf34.74 kBAdobe PDFView/Open
08_list of figures.pdf18.34 kBAdobe PDFView/Open
09_list of tables.pdf19.62 kBAdobe PDFView/Open
10_chapter 1.pdf46.14 kBAdobe PDFView/Open
11_chapter 2.pdf98.78 kBAdobe PDFView/Open
12_chapter 3.pdf182.78 kBAdobe PDFView/Open
13_chapter 4.pdf146.27 kBAdobe PDFView/Open
14_chapter 5.pdf187.44 kBAdobe PDFView/Open
15_chapter 6.pdf304.76 kBAdobe PDFView/Open
16_chapter 7.pdf653.43 kBAdobe PDFView/Open
17_chapter 8.pdf28.77 kBAdobe PDFView/Open
18_bibliography.pdf74.67 kBAdobe PDFView/Open


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