2021
DOI: 10.3390/app11020489
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Grey Wolf and Weighted Whale Algorithm Optimized IT2 Fuzzy Sliding Mode Backstepping Control with Fractional-Order Command Filter for a Nonlinear Dynamic System

Abstract: In this study, a fractional-order sliding mode backstepping control method was proposed, which involved the use of a fractional-order command filter, an interval type-2 fuzzy logic system approximation method, and a grey wolf and weighted whale optimization algorithm for multi-input multi-output nonlinear dynamic systems. For designing the stabilizing controls of the backstepping control, a novel fractional-order sliding mode surface was suggested. Further, the transformed errors that occurred during the recur… Show more

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Cited by 8 publications
(2 citation statements)
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“…Besides the PI λ D μ scheme, FC can be profitably applied to control system design in different ways, for example for enhancing the performance of sliding mode control by applying a FO disturbance observer [31]. In [32], a sliding mode backstepping control method is proposed, which involves the use of a fractional-order command filter, a fuzzy logic system approximator, and a grey wolf and weighted whale optimization algorithm for multi-input multi-output nonlinear dynamic systems.…”
Section: Introductionmentioning
confidence: 99%
“…Besides the PI λ D μ scheme, FC can be profitably applied to control system design in different ways, for example for enhancing the performance of sliding mode control by applying a FO disturbance observer [31]. In [32], a sliding mode backstepping control method is proposed, which involves the use of a fractional-order command filter, a fuzzy logic system approximator, and a grey wolf and weighted whale optimization algorithm for multi-input multi-output nonlinear dynamic systems.…”
Section: Introductionmentioning
confidence: 99%
“…Besides the PI λ D µ scheme, FC can be profitably applied to control system design in different ways, for example for enhancing the performance of sliding mode control by applying a FO disturbance observer [31]. In [32], a sliding mode backstepping control method is proposed, which involves the use of a fractional-order command filter, a fuzzy logic system approximator, and a grey wolf and weighted whale optimization algorithm for multi-input multi-output nonlinear dynamic systems.…”
Section: Introductionmentioning
confidence: 99%