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dc.creatorČupić, Željko
dc.creatorLončarević, Davor
dc.creatorIvanović-Šašić, Ana
dc.creatorBanković, Predrag
dc.creatorPetrović, Srđan
dc.date.accessioned2019-01-30T17:17:59Z
dc.date.available2019-01-30T17:17:59Z
dc.date.issued2008
dc.identifier.issn0098-1354
dc.identifier.urihttp://cer.ihtm.bg.ac.rs/handle/123456789/424
dc.description.abstractIdentification of trends and their correspondence with dynamical state transitions are briefly discussed oil several reaction network models. The influence of different threshold values oil the trend analysis and dynamical state analysis results is examined. Both methods are applied here to the results of the numerical simulation. For this purpose the models of three reaction systems are used: simple model of consecutive, first order, equilibrium reactions, partial oxidation of cyclohexane, and model of the oscillatory reaction Bray Liebhafsky. Detailed kinetic analysis confirmed that transient dynamical states may be identified through the symbolic representation of the sequence of trend episodes in experimentally obtainable time series. Stoichiometric Network Analysis of possible dynamical states was used to identify reaction pathways responsible for the sequences of trend episodes. Some technical problems were also addressed, connected with selection of the threshold value and dynamical state notion.en
dc.publisherPergamon-Elsevier Science Ltd, Oxford
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142019/RS//
dc.rightsrestrictedAccess
dc.sourceComputers & Chemical Engineering
dc.subjectdynamical statesen
dc.subjecttrend analysisen
dc.subjectnon-linear reaction kineticsen
dc.subjectreaction pathwaysen
dc.subjectnon-linear chemical dynamicsen
dc.subjectchemical oscillationsen
dc.titleExperimentally observable transitions between dynamical states in complex reaction systemsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractЛончаревић, Давор; Петровић, Срђан; Чупић, Жељко; Ивановић-Шашић, Aна; Банковић, Предраг;
dc.citation.volume32
dc.citation.issue6
dc.citation.spage1293
dc.citation.epage1304
dc.citation.other32(6): 1293-1304
dc.citation.rankM21
dc.identifier.doi10.1016/j.compchemeng.2007.06.003
dc.identifier.rcubConv_2395
dc.identifier.scopus2-s2.0-41249092939
dc.identifier.wos000255671900016
dc.type.versionpublishedVersion


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