2021
DOI: 10.1016/j.automatica.2020.109349
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Sampled-data observers for delay systems and hyperbolic PDE–ODE loops

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Cited by 14 publications
(3 citation statements)
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“…By means of small‐gain arguments, it is shown there that the equilibrium point 0𝒞 is GES in the state norm false|xfalse(tfalse)false|+xcfalse[tfalse]$$ \mid x(t)\mid +\left\Vert {x}_c\left[t\right]\right\Vert $$, provided that g$$ g $$ is differentiable and the following condition is satisfied: supx0.3emgfalse(xfalse)<1+μeprefix−ξfalse/c.$$ \underset{x\in \mathbb{R}}{\sup}\kern0.3em {g}^{\prime }(x)<1+\mu {e}^{-\xi /c}. $$ System (30) was also studied in Reference 28, where a sampled‐data observer was designed with measured output yfalse(tfalse)=xcfalse(t,1false)$$ y(t)={x}_c\left(t,1\right) $$ and measured input ufalse(tfalse)$$ u(t) $$.…”
Section: Application: Chemical Reactor Modelmentioning
confidence: 99%
“…By means of small‐gain arguments, it is shown there that the equilibrium point 0𝒞 is GES in the state norm false|xfalse(tfalse)false|+xcfalse[tfalse]$$ \mid x(t)\mid +\left\Vert {x}_c\left[t\right]\right\Vert $$, provided that g$$ g $$ is differentiable and the following condition is satisfied: supx0.3emgfalse(xfalse)<1+μeprefix−ξfalse/c.$$ \underset{x\in \mathbb{R}}{\sup}\kern0.3em {g}^{\prime }(x)<1+\mu {e}^{-\xi /c}. $$ System (30) was also studied in Reference 28, where a sampled‐data observer was designed with measured output yfalse(tfalse)=xcfalse(t,1false)$$ y(t)={x}_c\left(t,1\right) $$ and measured input ufalse(tfalse)$$ u(t) $$.…”
Section: Application: Chemical Reactor Modelmentioning
confidence: 99%
“…It is possible to facilitate the solution of observation and control problems under these conditions by using smart, including adaptive, sensors, in which measurement results are encoded for transmission via a digital communication channel to an appropriately designed decoder. Up to the authors' knowledge, there exist only a few results on robustness with respect to data sampling for parabolic PDE and hyperbolic Partial Differential Equations-Ordinary Differential Equations (PDE-ODE) loops, such as [11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…This inevitably results in unpredictable performance degradation of the closed‐loop system 11 . To improve the estimation accuracy of observers under complex conditions, the so‐called adaptive observer has attracted much research attention (see References 12 and 13 and the references therein). For example, adaptive extended state observer with automatically tuned gain has been proposed for the discrete‐time system 14,15 .…”
Section: Introductionmentioning
confidence: 99%