Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875460" target="_blank" >RIV/70883521:28140/16:43875460 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1051/matecconf/20167601005" target="_blank" >http://dx.doi.org/10.1051/matecconf/20167601005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/20167601005" target="_blank" >10.1051/matecconf/20167601005</a>

Result language
angličtina
Original language name
Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
Original language description
The goal of this paper is to compare two identification methods - continuous-time and discrete-time. The continuous-time identification model is more accurate but not very suitable for on-line identification. This disadvantage was overcome with the use of differential filters. On the other hand, discrete-time identification model has is more suitable for identification but less accurate. Compromise can be found in the delta model as a special type of the discrete-time model parameters of which are related to the sampling period. The adaptive approach is based on the choice of the External Linear Model, parameters of which are identified recursively which satisfies the adaptivity of this system. Proposed control strategy was applied on the mathematical model of the Continuous Stirred-Tank reactor as a typical nonlinear lumped-parameters system used in the industry.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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