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Novel neural network fractional-order sliding-mode control with application to active power filter
J Fei, H Wang, Y Fang - IEEE transactions on systems, man …, 2021 - ieeexplore.ieee.org
In this article, a fractional-order sliding-mode control scheme based on a two-hidden-layer
recurrent neural network (THLRNN) is proposed for a single-phase shunt active power filter …
recurrent neural network (THLRNN) is proposed for a single-phase shunt active power filter …
Fractional-order finite-time super-twisting sliding mode control of micro gyroscope based on double-loop fuzzy neural network
J Fei, Z Feng - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
This article proposes a fractional order nonsingular terminal super-twisting sliding mode
control (FONT-STSMC) method for a micro gyroscope with unknown uncertainty based on …
control (FONT-STSMC) method for a micro gyroscope with unknown uncertainty based on …
Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
This article studies the adaptive backstep** control problem for a class of fractional-order
(FO) nonlinear systems subject to input quantization and unknown control directions by …
(FO) nonlinear systems subject to input quantization and unknown control directions by …
Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint
This article investigates the issue of neuro-fuzzy-based adaptive dynamic surface control
(DSC) for uncertain fractional-order (FO) nonlinear systems in strict-feedback form where …
(DSC) for uncertain fractional-order (FO) nonlinear systems in strict-feedback form where …
A fuzzy neural network-based fractional-order Lyapunov-based robust control strategy for exoskeleton robots: Application in upper-limb rehabilitation
A Razzaghian - Mathematics and Computers in Simulation, 2022 - Elsevier
The paper investigates a novel fractional-order Lyapunov-based robust controller based on
a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. First, a finite …
a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. First, a finite …
Fuzzy neural network-based chaos synchronization for a class of fractional-order chaotic systems: an adaptive sliding mode control approach
RM Wang, YN Zhang, YQ Chen, X Chen, L ** - Nonlinear Dynamics, 2020 - Springer
This paper deals with chaos synchronization problem between two different uncertain
fractional-order (FO) chaotic systems with disturbance based on FO Lyapunov stability …
fractional-order (FO) chaotic systems with disturbance based on FO Lyapunov stability …
Neural-network-based adaptive control of uncertain MIMO singularly perturbed systems with full-state constraints
H Wang, C Yang, X Liu, L Zhou - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
This article investigates the tracking control problem for a class of nonlinear multi-input–multi-
output (MIMO) uncertain singularly perturbed systems (SPSs) with full-state constraints. The …
output (MIMO) uncertain singularly perturbed systems (SPSs) with full-state constraints. The …
[HTML][HTML] The regulation of an electric oven and an inverted pendulum
In this research, a proportional integral derivative regulator, a first-order sliding-mode
regulator, and a second-order sliding-mode regulator are compared, for the regulation of two …
regulator, and a second-order sliding-mode regulator are compared, for the regulation of two …
Observer-based adaptive hybrid fuzzy resilient control for fractional-order nonlinear systems with time-varying delays and actuator failures
This article investigates the adaptive output feedback resilient control problem for a class of
incommensurate fractional-order (FO) nonlinear systems in the presence of time-varying …
incommensurate fractional-order (FO) nonlinear systems in the presence of time-varying …
Leader-following consensus of fractional-order multi-agent systems based on event-triggered control
T Hu, Z He, X Zhang, S Zhong - Nonlinear Dynamics, 2020 - Springer
In this paper, an efficient event-triggered control is designed to address the leader-following
consensus problem for the fractional-order multi-agent systems. First, in order to reduce the …
consensus problem for the fractional-order multi-agent systems. First, in order to reduce the …