Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models

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Bibliografiske detaljer
Main Authors: Baruch, Ieroham, Galvan-Guerra, Rosalba, M., Sergio-Miguel Hernandez
Format: Electronisk Book Chapter
Sprog:engelsk
Udgivet: IntechOpen 2011
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Online adgang:https://www.intechopen.com/chapters/13072
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author Baruch, Ieroham
Galvan-Guerra, Rosalba
M., Sergio-Miguel Hernandez
author_facet Baruch, Ieroham
Galvan-Guerra, Rosalba
M., Sergio-Miguel Hernandez
author_sort Baruch, Ieroham
collection InTech Open eBooks
description None
doi_str_mv 10.5772/13491
first_indexed 2025-08-04T21:18:48Z
format Electronic
Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-13072</identifier><datestamp>2011-01-14</datestamp> <dc:title>Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models</dc:title> <dc:creator>Ieroham Baruch</dc:creator> <dc:creator>Rosalba Galvan-Guerra</dc:creator> <dc:creator>Sergio-Miguel Hernandez M.</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>None</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2011-01-14</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/13072</dc:identifier> <dc:identifier>doi:10.5772/13491</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-953-307-369-9</dc:relation> <dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/24 ; Advances in Reinforcement Learning</dc:source> </oai_dc:dc>
id InTech-13072
institution Matheson Library
isbn 978-953-307-369-9
language English
last_indexed 2025-08-04T21:18:48Z
publishDate 2011
publisher IntechOpen
record_format intech
spelling InTech-130722011-01-14 Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models Ieroham Baruch Rosalba Galvan-Guerra Sergio-Miguel Hernandez M. Physical Sciences, Engineering and Technology None IntechOpen 2011-01-14 Chapter, Part Of Book https://www.intechopen.com/chapters/13072 doi:10.5772/13491 en ISBN:978-953-307-369-9 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/24 ; Advances in Reinforcement Learning
spellingShingle Physical Sciences, Engineering and Technology
Baruch, Ieroham
Galvan-Guerra, Rosalba
M., Sergio-Miguel Hernandez
Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title_full Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title_fullStr Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title_full_unstemmed Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title_short Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models
title_sort distributed parameter bioprocess plant identification and i term control using decentralized fuzzy neural multi models
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/13072
work_keys_str_mv AT baruchieroham distributedparameterbioprocessplantidentificationanditermcontrolusingdecentralizedfuzzyneuralmultimodels
AT galvanguerrarosalba distributedparameterbioprocessplantidentificationanditermcontrolusingdecentralizedfuzzyneuralmultimodels
AT msergiomiguelhernandez distributedparameterbioprocessplantidentificationanditermcontrolusingdecentralizedfuzzyneuralmultimodels