Fractional Order Complex Systems Advanced Control, Intelligent Estimation and Reinforcement Learning Image Processing Algorithms
Fractional-order systems extend classical integer-order models, providing a more accurate description of real-world physical phenomena. In image processing, critical techniques like noise suppression and image fusion in medical imaging are essential for clinical diagnosis and treatment. The increasi...
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| ISBN: | 9783725834037, 3725834040, 3725834032, 9783725834044 |
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| Abstract | Fractional-order systems extend classical integer-order models, providing a more accurate description of real-world physical phenomena. In image processing, critical techniques like noise suppression and image fusion in medical imaging are essential for clinical diagnosis and treatment. The increasing diversity of image acquisition models has further emphasized the importance of these techniques. Recent advancements have positioned fractional operators as a key component in image processing, serving as powerful tools for noise reduction and feature enhancement. Additionally, the development of new fractional operating tools has significantly enhanced the analysis and design of nonlinear control systems. Singular systems, characterized by singular differential equations, exhibit unique properties distinct from classical systems. Methodologies for fractional-order control systems, inspired by integer-order approaches, are gaining traction within the control community due to their enhanced capabilities. This Special Issue highlights the latest developments in fractional calculus and its transformative impact across multiple disciplines, setting the stage for future innovations in applied mathematics and engineering. |
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| AbstractList | Fractional-order systems extend classical integer-order models, providing a more accurate description of real-world physical phenomena. In image processing, critical techniques like noise suppression and image fusion in medical imaging are essential for clinical diagnosis and treatment. The increasing diversity of image acquisition models has further emphasized the importance of these techniques. Recent advancements have positioned fractional operators as a key component in image processing, serving as powerful tools for noise reduction and feature enhancement. Additionally, the development of new fractional operating tools has significantly enhanced the analysis and design of nonlinear control systems. Singular systems, characterized by singular differential equations, exhibit unique properties distinct from classical systems. Methodologies for fractional-order control systems, inspired by integer-order approaches, are gaining traction within the control community due to their enhanced capabilities. This Special Issue highlights the latest developments in fractional calculus and its transformative impact across multiple disciplines, setting the stage for future innovations in applied mathematics and engineering. |
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| Editor | Zhang, Jin-Xi Boutat, Driss Liu, Da-Yan Zhang, Xuefeng |
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| SubjectTerms | adaptive admissibility apple body segmentation CNP convolutional neural network deep image enhancement deep learning denial-of-service (DoS) attacks descriptor fractional order systems discrete-time networked systems disturbance observer edges finger-vein recognition finite-time command filter fractal dimension fractal dimension estimation fractal geometry fractional differential inverse distance weighted fractional differentiation fractional powers fractional-order fractional-order differential fractional-order modeling and identification gender recognition generalized criteria generative adversarial network harvesting robot heterogeneous data image fusion infrared light images large inertia and time delay limited camera viewing angle linear matrix inequality lower-triangular systems Mathematics and Science missing plant parts multi-focus image multivariate regression analysis n/a nonlinear surface fitting nonparametric uncertainties NSCT optical flow estimation plant image classification and segmentation plant images prescribed performance proportional integral controller reference tracking Reference, Information and Interdisciplinary subjects Research and information: general security control selective catalytic reduction denitrification process singular fractional order systems small training data spoof attack spoof detection stability surveillance system swarm intelligence optimization unified criterion unmanned surface vehicles weed and crop semantic segmentation |
| Subtitle | Advanced Control, Intelligent Estimation and Reinforcement Learning Image Processing Algorithms |
| Title | Fractional Order Complex Systems |
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