2021
DOI: 10.1016/j.isatra.2020.12.047
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Trajectory tracking of a quadrotor using a robust adaptive type-2 fuzzy neural controller optimized by cuckoo algorithm

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Cited by 29 publications
(13 citation statements)
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“…The generic rule structure of the IT2-FLS that is composed of N r rules is as follows [50][51][52][53] :…”
Section: Interval Type-2 Fuzzy Logic Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…The generic rule structure of the IT2-FLS that is composed of N r rules is as follows [50][51][52][53] :…”
Section: Interval Type-2 Fuzzy Logic Systemsmentioning
confidence: 99%
“…where Y i are crisp consequent MFs and A j Q ~, = 1, …, . 52 The output of IT2-FLS is computed as follows 54…”
Section: Interval Type-2 Fuzzy Logic Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, the combination of different intelligent systems with traditional computational approaches has been proposed in different fields of research in order to develop more efficient tools [10] , [11] , [12] , [13] . In the context of computational modeling of experimental data, type-2 fuzzy systems have attracted considerable attention by researches due to its interpretable rule-based structure with capability to treat nonlinearity and uncertainty [14] , [15] , [16] .…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, a disturbance estimator-based attitude control law has been presented. A robust adaptive type-2 fuzzy neural controller optimized for quadrotor systems has been presented in [15].…”
mentioning
confidence: 99%