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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 …
Caputo derivatives of fractional variable order: numerical approximations
We present a new numerical tool to solve partial differential equations involving Caputo
derivatives of fractional variable order. Three Caputo-type fractional operators are …
derivatives of fractional variable order. Three Caputo-type fractional operators are …
A comprehensive survey on fractional Fourier transform
The Fractional Fourier transform (FRFT) is a relatively novel linear transforms that is a
generalization of conventional Fourier transform (FT). FRFT can transform a particular signal …
generalization of conventional Fourier transform (FT). FRFT can transform a particular signal …
Image edge detection using fractional calculus with feature and contrast enhancement
Edge detection is an important aspect of image processing to improve image edge quality. In
the literature, there exist various edge detection techniques in spatial and frequency …
the literature, there exist various edge detection techniques in spatial and frequency …
Fractional Fourier transform and fractional-order calculus-based image edge detection
Edge detection is an integral component of image processing to enhance the clarity of
edges in an image. Detection of edges for an image may help for image segmentation, data …
edges in an image. Detection of edges for an image may help for image segmentation, data …
A novel approach to ECG R-peak detection
Electrocardiogram (ECG) signal processing and analysis is becoming more and more
popular as it is useful in diagnosis and prognosis of human heart and clinically automatic …
popular as it is useful in diagnosis and prognosis of human heart and clinically automatic …
Fractional derivative based Unsharp masking approach for enhancement of digital images
Image visual quality is severely degraded due to various environmental conditions, thus,
leading to the loss in image details. Therefore, an image enhancement approach is required …
leading to the loss in image details. Therefore, an image enhancement approach is required …
Fractional topology optimization of periodic multi-material viscoelastic microstructures with tailored energy dissipation
The microstructural configuration of a material affects its macroscopic viscoelastic behavior,
which suggests that materials can be engineered to achieve a desired viscoelastic behavior …
which suggests that materials can be engineered to achieve a desired viscoelastic behavior …
A robust approach to denoise ECG signals based on fractional Stockwell transform
Electrocardiogram (ECG) is a non-invasive technique, used by physicians for prognosis of
underlying heart diseases. ECG being the time-varying electric signal evolving from heart, is …
underlying heart diseases. ECG being the time-varying electric signal evolving from heart, is …