Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/32160
Title: Studies on process modeling and optimization
Researcher: Vijayachitra S
Guide(s): Tamilarasi A
Keywords: electrical engineering
optimization
process modeling
Upload Date: 1-Jan-2015
University: Anna University
Completed Date: 01/11/2008
Abstract: Many of the industrial processes are difficult to model because of newlinetheir complex behavior influential characteristics and operational conditions newlineMathematical models of industrial processes provide useful tools for the newlinesimulation and control of system operation Many of the kinetic models are newlineprohibitively complex often analytically unsolvable and not routinely useful newlinefor control applications Instead of conventional kinetic modeling fuzzy newlinetechnology is also applied to develop an adaptive model for industrial newlineprocesses There are numerous cases where fuzzy logic has been successfully newlineapplied to modeling systems One of its main advantages is that it provides an newlineunderstandable knowledge representation newline newline newline
Pagination: xx, 125p.
URI: http://hdl.handle.net/10603/32160
Appears in Departments:Faculty of Electrical and Electronics Engineering

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02_certificate.pdf5.79 kBAdobe PDFView/Open
03_abstract.pdf10.6 kBAdobe PDFView/Open
04_acknowledgement.pdf6.87 kBAdobe PDFView/Open
05_contents.pdf35.54 kBAdobe PDFView/Open
06_chapter 1.pdf115.57 kBAdobe PDFView/Open
07_chapter 2.pdf73.24 kBAdobe PDFView/Open
08_chapter 3.pdf154.91 kBAdobe PDFView/Open
09_chapter 4.pdf200.05 kBAdobe PDFView/Open
10_chapter 5.pdf209.58 kBAdobe PDFView/Open
11_chapter 6.pdf122.35 kBAdobe PDFView/Open
12_chapter 7.pdf9.81 kBAdobe PDFView/Open
13_references.pdf43.59 kBAdobe PDFView/Open
14_publications.pdf10.61 kBAdobe PDFView/Open
15_vitae.pdf5.89 kBAdobe PDFView/Open
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