On the synchronization and stabilization of fractional-order chaotic systems: Recent advances and future perspectives
MA Balootaki, H Rahmani, H Moeinkhah… - Physica A: Statistical …, 2020 - Elsevier
Chaos is one of the most significant findings in physics and engineering. Fractional-order
chaotic systems are nonlinear systems with special features which, some of them include …
chaotic systems are nonlinear systems with special features which, some of them include …
A type-3 fuzzy control for current sharing and voltage balancing in microgrids
This paper studies the current sharing and voltage balancing problems of direct current
microgrids (DC-MGs) consisting of distributed generation units (DGUs) connected by a …
microgrids (DC-MGs) consisting of distributed generation units (DGUs) connected by a …
Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm
This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to
the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback …
the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback …
Synchronization of delayed fuzzy neural networks with probabilistic communication delay and its application to image encryption
S Yan, Z Gu, JH Park, X Xie - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In this article, we study the design of fuzzy synchronization controller of Takagi–Sugeno (T–
S) fuzzy neural networks with distributed time-varying delay and probabilistic network …
S) fuzzy neural networks with distributed time-varying delay and probabilistic network …
A review on design and implementation of type‐2 fuzzy controllers
H Jahanshahi, A Yousefpour… - … Methods in the …, 2022 - Wiley Online Library
Nowadays, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …
A predictive type-3 fuzzy control for underactuated surface vehicles
In this paper, a path-following control (PFC) problem of an underactuated surface vehicle
(USV) is scrutinized based on an interval type-3 fuzzy logic system (IT3FLS). The suggested …
(USV) is scrutinized based on an interval type-3 fuzzy logic system (IT3FLS). The suggested …
Adaptive backstepping hybrid fuzzy sliding mode control for uncertain fractional-order nonlinear systems based on finite-time scheme
A fractional-order integral fuzzy sliding mode control scheme is proposed for a class of
uncertain fractional order nonlinear systems subject to uncertainties and external …
uncertain fractional order nonlinear systems subject to uncertainties and external …
Energy management in photovoltaic battery hybrid systems: A novel type-2 fuzzy control
A Mohammadzadeh, S Rathinasamy - International Journal of Hydrogen …, 2020 - Elsevier
In this paper, a new robust fuzzy control approach is presented to power management in the
photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed …
photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed …
Self-evolving function-link interval type-2 fuzzy neural network for nonlinear system identification and control
Determining a network size for a fuzzy neural network structure is very important, and it is
often difficult to obtain the most suitable value. This study develops a self-evolving function …
often difficult to obtain the most suitable value. This study develops a self-evolving function …
A self-organizing global sliding mode control and its application to active power filter
S Hou, J Fei - IEEE Transactions on Power Electronics, 2019 - ieeexplore.ieee.org
In this article, a self-organizing global sliding mode control (GSMC) is developed for a class
of dynamic systems, whereby modeling uncertainties are estimated by metacognitive fuzzy …
of dynamic systems, whereby modeling uncertainties are estimated by metacognitive fuzzy …