2016
DOI: 10.1016/j.ifacol.2016.07.204
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Teaching multiloop control of nonlinear system: three tanks case study

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Cited by 8 publications
(8 citation statements)
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“…The objective is to precisely regulate individual tank levels, denoted as l1$$ {l}_1 $$ and l2$$ {l}_2 $$. As discussed in [38, 39], the transfer function of the TTHS is scriptYfalse(sfalse)=[]center center centerarrayarray1.4622s+1e0.3sarray0.4715.55s+1e0.9sarray0.68316.28s+1e0.5sarray0.65417.41s+1e0.2sarray1.4723s+1e0.5sarray0.6715s+1e0.8sarray0array0array0.$$ \mathcal{Y}(s)=\left[\begin{array}{ccc}\frac{1.46}{22s+1}{e}^{-0.3s}& \frac{0.47}{15.55s+1}{e}^{-0.9s}& \frac{0.683}{16.28s+1}{e}^{-0.5s}\\ {}\frac{0.654}{17.41s+1}{e}^{-0.2s}& \frac{1.47}{23s+1}{e}^{-0.5s}& \frac{0.67}{15s+1}{e}^{-0.8s}\\ {}0& 0& 0\end{array}\right]. $$ …”
Section: Resultsmentioning
confidence: 99%
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“…The objective is to precisely regulate individual tank levels, denoted as l1$$ {l}_1 $$ and l2$$ {l}_2 $$. As discussed in [38, 39], the transfer function of the TTHS is scriptYfalse(sfalse)=[]center center centerarrayarray1.4622s+1e0.3sarray0.4715.55s+1e0.9sarray0.68316.28s+1e0.5sarray0.65417.41s+1e0.2sarray1.4723s+1e0.5sarray0.6715s+1e0.8sarray0array0array0.$$ \mathcal{Y}(s)=\left[\begin{array}{ccc}\frac{1.46}{22s+1}{e}^{-0.3s}& \frac{0.47}{15.55s+1}{e}^{-0.9s}& \frac{0.683}{16.28s+1}{e}^{-0.5s}\\ {}\frac{0.654}{17.41s+1}{e}^{-0.2s}& \frac{1.47}{23s+1}{e}^{-0.5s}& \frac{0.67}{15s+1}{e}^{-0.8s}\\ {}0& 0& 0\end{array}\right]. $$ …”
Section: Resultsmentioning
confidence: 99%
“…levels, denoted as l 1 and l 2 . As discussed in [38,39], the transfer function of the TTHS is Similarly, the decouplers are designed as…”
Section: Figure 17mentioning
confidence: 99%
“…The teaching of advanced control topics using a nonlinear MIMO-multiple-input and multiple-output system of a three-tank model was studied in [8] by Rosinova et al The work by [9] is worth attention. The authors analyze the problem of control design with an observer of the state of a four-tank water level CTS.…”
Section: Matlab/simulink Environmentmentioning
confidence: 99%
“…A coupled or cascaded dynamical system consisting of many tanks, which is investigated in [8,15,68,[77][78][79][80][81][82] (state-space approach, PI, PID), [10,30,80] (transfer function approach), [14,16] (FL, NN), [9,10,15,78,83] (model-based or model-predictive control, state predictor), [8,16,79] (geometry-varying tank), [77,84] (SMC), and [80] (dead-time).…”
Section: Mathematical Modelingmentioning
confidence: 99%
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