References of "Tellez-Anguiano, Adriana"
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See detailObservador de alta ganancia constante para una clase de sistema no lineal de forma triangular.
Aguilera Gonzalez, Adriana UL; Tellez-Anguiano, Adriana; Astorga-Zaragoza, Carlos Manuel et al

in Revista Iberoamericana de Automática e Informática Industrial (2010), 7(2), 31-38

In this article a continuous-discrete high gain observer to estimate the molar compositions in a distillation column for ethanol-water mixture, using measurements of temperatures in the dishes is ... [more ▼]

In this article a continuous-discrete high gain observer to estimate the molar compositions in a distillation column for ethanol-water mixture, using measurements of temperatures in the dishes is presented. One of the main advantages of this observer is its constant gain, so tune it depends only on the choice of constant parameters that must satisfy some simple algebraic inequalities. The continuous-discrete observer has a good track process dynamics despite using less data than an observer purely discrete. The effectiveness of the proposed method to estimate concentrations in a distillation column, and also their proper performance compared to the purely discrete version of the observer, are shown using experimental data. [less ▲]

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See detailComparison of discrete and continuous-discrete observers for composition estimation in distillation columns
Aguilera Gonzalez, Adriana UL; Tellez-Anguiano, Adriana; Astorga-Zaragoza, Carlos Manuel et al

in International Symposium on Advanced Control of Chemical Processes, ADCHEM 2009 (2009)

In this paper we present a high-gain observer implemented in its discrete and continuous-discrete versions in order to compare the performance of both algorithms. The comparison is made considering the ... [more ▼]

In this paper we present a high-gain observer implemented in its discrete and continuous-discrete versions in order to compare the performance of both algorithms. The comparison is made considering the sampling time used to perform the observer’s correction stage in order to establish that the continuous-discrete observer is the best option when a low sampling time is used. Under this condition the continuous discrete observer can process data performing a reliable on-line estimation of the system (a slow dynamics of the process is required). We apply both algorithms to a distillation column that uses the Ethanol-Water binary mixture. [less ▲]

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