Impact Study of the Footprint of Uncertainty in Control Applications Based on Interval Type-2 Fuzzy Logic Controllers

Ontiveros, Emanuel; Melín, Patricia; Castillo, Oscar

doi:10.1007/978-3-319-71008-2_15

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Experiments Whit the DC Motor Speed Controller1

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2021

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Cited by 7 publications

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“…We illustrate in Figure 8 a schematic view showing the form of a D.C. Motor [35]. The structure of the controller with respect to the fuzzy system is of two inputs, which are the error and the error change, and the output that corresponds to the voltage.…”

Section: Experiments Whit the DC Motor Speed Controllermentioning

confidence: 99%

Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

Ochoa¹,

Castillo²,

Melín³

et al. 2021

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This work is mainly focused on improving the differential evolution algorithm with the utilization of shadowed and general type 2 fuzzy systems to dynamically adapt one of the parameters of the evolutionary method. In this case, the mutation parameter is dynamically moved during the evolution process by using a shadowed and general type-2 fuzzy systems. The main idea of this work is to make a performance comparison between using shadowed and general type 2 fuzzy systems as controllers of the mutation parameter in differential evolution. The performance is compared with the problem of optimizing fuzzy controllers for a D.C. Motor. Simulation results show that general type-2 fuzzy systems are better when higher levels of noise are considered in the controller.

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Section: Experiments Whit the DC Motor Speed Controllermentioning

confidence: 99%