2022
DOI: 10.1109/access.2022.3144836
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Many-Objective Adaptive Fuzzy With Sliding Mode Control for a Class of Switching Power Converters Using Global Optimization

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

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Cited by 5 publications
(2 citation statements)
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“…An adaptive sliding-mode strategy was used for getting robust design by removing the bounded uncertainties/perturbations for a USV based surge speed and heading control problem in Tian et al, (2022). Chen et al, (2022) designed an adaptive fuzzy controller for parametric optimization with SMC for a class of switching power converters suited for renewable energy systems . The objective of the current article is to propose an optimal ASMC for a WF approximated nonlinear system.…”
Section: Introductionmentioning
confidence: 99%
“…An adaptive sliding-mode strategy was used for getting robust design by removing the bounded uncertainties/perturbations for a USV based surge speed and heading control problem in Tian et al, (2022). Chen et al, (2022) designed an adaptive fuzzy controller for parametric optimization with SMC for a class of switching power converters suited for renewable energy systems . The objective of the current article is to propose an optimal ASMC for a WF approximated nonlinear system.…”
Section: Introductionmentioning
confidence: 99%
“…In [ 17 ], the backstepping method was combined with sliding mode control theory, which overcomes the strong dependence of the traditional backstepping method on the system model and shows strong resistance to input and load disturbances. In [ 18 ], a method combining adaptive fuzzy control and sliding mode control was adopted, which significantly improves the system performance. In [ 19 ], a double integral indirect sliding mode control strategy was proposed to effectively eliminate the state error in the output and improve the dynamic performance of the full-bridge circuit.…”
Section: Introductionmentioning
confidence: 99%