Articles with "adaptive fractional" as a keyword



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Adaptive fractional order sliding mode control for a quadrotor with a varying load

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Published in 2019 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2019.01.053

Abstract: Abstract Due to their high maneuverability, quadrotors are very suitable vehicles for displacement of loads. Even so, loads can cause overweight that acts as a disturbance in momentums of inertia of quadrotor. As a result,… read more here.

Keywords: sliding mode; order sliding; fractional order; adaptive fractional ... See more keywords
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Model-free adaptive fractional order control of stable linear time-varying systems.

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Published in 2017 at "ISA transactions"

DOI: 10.1016/j.isatra.2017.01.023

Abstract: This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems. An online algorithm is proposed to determine some frequency characteristics using a selective filtering and to design a fractional PID… read more here.

Keywords: adaptive fractional; time varying; free adaptive; fractional order ... See more keywords
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Image Denoising Algorithm Based on Entropy and Adaptive Fractional Order Calculus Operator

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2718558

Abstract: In this paper, a fractional calculus operator for image denoising is constructed based on the characteristic of local entropy and the gradient feature, and an adaptive fractional calculus image denoising algorithm is proposed. First, the… read more here.

Keywords: adaptive fractional; image; calculus; image denoising ... See more keywords
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Iso-m Based Adaptive Fractional Order Control With Application to a Soft Robotic Neck

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3035450

Abstract: This article proposes an adaptive fractional feedback control using recursive least squares algorithm for plant identification and a recent real-time method (iso-m) for fractional controller tuning. The combination of both methods allows keeping the same… read more here.

Keywords: iso based; control; robotic neck; soft robotic ... See more keywords

Adaptive Fractional-Order Backstepping Control for a General Class of Nonlinear Uncertain Integer-Order Systems

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Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3206750

Abstract: In this article, we consider the adaptive fractional-order backstepping control problem for a class of high-order integer-order systems with uncertainties and unknown external disturbance. To obtain enhanced control performance, fractional-order calculus is integrated within the… read more here.

Keywords: order backstepping; adaptive fractional; fractional order; order ... See more keywords

Discrete-time Adaptive Fractional Nonlinear Control Using Fuzzy Rules Emulating Networks

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Published in 2023 at "Journal of Computational and Nonlinear Dynamics"

DOI: 10.1115/1.4062264

Abstract: The research objective of this paper is to propose a robust controller that relies only on input-output data information, in order to enforce robust tracking in a large class of uncertain nonlinear system. The controller… read more here.

Keywords: discrete time; time adaptive; control; fractional nonlinear ... See more keywords
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Neural network–based adaptive fractional-order terminal sliding mode control

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Published in 2022 at "Transactions of the Institute of Measurement and Control"

DOI: 10.1177/01423312221098486

Abstract: This paper proposes an adaptive fractional-order (FO) terminal sliding mode control (TSMC) scheme to the robust current control of active power filter (APF) using a recurrent meta-cognitive fuzzy neural network (RMCFNN). An FO TSMC is… read more here.

Keywords: sliding mode; control; terminal sliding; adaptive fractional ... See more keywords
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Population based optimization via differential evolution and adaptive fractional gradient descent

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Published in 2020 at "Filomat"

DOI: 10.2298/fil2015173l

Abstract: We propose a differential evolution algorithm based on adaptive fractional gradient descent (DE-FGD) to address the defects of existing bio-inspired algorithms, such as slow convergence speed and local optimum. The crossover and selection processes of… read more here.

Keywords: optimization; fractional gradient; differential evolution; gradient descent ... See more keywords