Adaptive type-2 fuzzy neural network inherited terminal sliding mode control for power quality improvement

S Hou, Y Chu, J Fei - IEEE transactions on industrial informatics, 2021 - ieeexplore.ieee.org
… and enhance the performance of type-2 fuzzy system for the first time such that a new structure
of type-2 … Hou, “Adaptive global sliding-mode control for dynamic systems using double …

Adaptive super-twisting sliding mode control of active power filter using interval type-2-fuzzy neural networks

J Wang, Y Fang, J Fei - Mathematics, 2023 - mdpi.com
… For the design of the virtual unmodeled dynamic … , an adaptive super-twisting sliding mode
control strategy for single-phase active power filter is proposed by combining interval type-2

[PDF][PDF] Input-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy

V Karthikeyan, AK Tiwari, A Vedi… - International Journal of …, 2022 - academia.edu
dynamic SMC technique with type-2 neural network is implemented in [20] for boost
converter … Li, “Continuous nonsingular terminal sliding mode control of dc-dc boost converters

Adaptive Dynamic Sliding Mode Algorithm for BDFIG Control.

M Ehsani, A Oraee, B Abdi… - Iranian Journal of …, 2023 - search.ebscohost.com
… In this section, principle of adaptive dynamic sliding mode control theory is explained. Later,
… In this paper, an adaptive dynamic sliding mode controller was used to control active and …

Design of integral sliding mode control and fuzzy adaptive PI control for voltage stability in DC microgrid

X Zhang, Y Zhao, H Jiang, M Wei - Frontiers in Energy Research, 2023 - frontiersin.org
… , a dynamic sliding mode controller is formulated. The proposed sliding mode control
scheme … The duty cycle of the DCDC boost converter is a key parameter that determines the …

Design of adaptive fuzzy-neural-network-imitating sliding-mode control for parallel-inverter system in islanded micro-grid

Y Yang, RJ Wai - IEEE Access, 2021 - ieeexplore.ieee.org
… stability, an entire dynamic model is constructed by viewing … An adaptive type-2 FNN control
system with an uncertainty … A FNN-based control method has the learning and reasoning …

Robust intelligent control for a class of power-electronic converters using neuro-fuzzy learning mechanism

S Hou, Y Chu, J Fei - IEEE Transactions on Power Electronics, 2021 - ieeexplore.ieee.org
… Chu, “Double hidden layer output feedback neural adaptive global sliding mode control of
… Wu, “Adaptive type-2 FNN-based dynamic sliding mode control of dc-dc boost converters,” …

Adaptive Interval Type-2 Fuzzy Neural Network-Based Novel Fixed-Time Backstepping Control for Uncertain Euler-Lagrange Systems

Z Liu, C Wu, X Shen, W Yao, J Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
dynamics (including model uncertainty, external disturbance, etc.) of the Euler-Lagrange
system, this paper designs an adaptive interval type-2control and sliding mode control have …

Finite-time adaptive neural network observer-based output voltage-tracking control for DCDC boost converters

Y Wang, Y Wang, X Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… An interval type-2 fuzzy neural network is designed to improve the capacity of managing the
uncertainties and the dynamic sliding mode control law is designed for the DC-DC converter

Cascade sliding mode control based on extended state observer method for a DC-DC buck converter

S Wang, L Juan, L Zhang, S Li - 2021 40th Chinese Control …, 2021 - ieeexplore.ieee.org
… Therefore, some novel sliding mode control design for some … type-2 fuzzy modeling method
and an adaptive sliding mode … the DC-DC buck converter dynamic mathematical model with …