mathematical modeling
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2022 ◽  
Vol 75 (1) ◽  
pp. 27-35
Author(s):  
Antonio Marlon Barros Silva ◽  
Johne Jesus Mol Peixoto ◽  
Carlos Antônio da Silva ◽  
Itavahn Alves Silva

2022 ◽  
Vol 136 ◽  
pp. 102693
Author(s):  
Luciana Melchiori ◽  
Graciela Nasini ◽  
Jorge M. Montagna ◽  
Gabriela Corsano

Author(s):  
Javier Eduardo Martinez Baquero ◽  
Jairo Cuero Ortega ◽  
Robinson Jimenez Moreno

This article presents the design of a fuzzy controller embedded in a microcontroller aimed at implementing a low-cost, modular process control system. The fuzzy system's construction is based on a classical proportional and derivative controller, where inputs of error and its derivate depend on the difference between the desired setpoint and the actual level; the goal is to control the water level of coupled tanks. The process is oriented to control based on the knowledge that facilitates the adjustment of the output variable without complex mathematical modeling. In different response tests of the fuzzy controller, a maximum over-impulse greater than 8% or a steady-state error greater than 2.1% was not evidenced when varying the setpoint.


2022 ◽  
Vol 464 ◽  
pp. 109836
Author(s):  
Shangge Li ◽  
Jinfeng Jian ◽  
Rama Krishnan Poopal ◽  
Xinyu Chen ◽  
Yaqi He ◽  
...  

Author(s):  
Valeriy Eskov ◽  
V. Galkin ◽  
O. Filatova ◽  
T. Gavrilenko ◽  
V. Eskov

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