Fractional Order Complex Systems: Advanced Control, Intelligent Estimation and Reinforcement Learning Image Processing​ Algorithms

Dear Colleagues,

Over recent years, a growing number of authors’ works from various science and engineering fields have dealt with dynamical systems, described by the connection between the theory of artificial intelligence and fractional differential equations, and many computational fractional intelligence systems and stability analysis and image processing applications have been proposed. The aim of this Special Issue is to gather articles reflecting the latest developments in applied mathematics and advanced intelligent control engineering related to the interdisciplinary topics of control, fractional calculus, image processing, and their applications in engineering science.

Fractional calculus and fractional processes, with applications in control systems and image processing, represent a hot topic. Fractional order systems are a natural generalization of classical integer order systems with the capacity to accurately describe many real-world physical systems. The fusion and noise suppression of medical images have become increasingly difficult to ignore in image processing, and these techniques provide abundant information for clinical diagnosis and treatment. Image fusion is a significant factor in image processing owing to the increase in image acquisition models. Recently, fractional operators have played an important role in image processing. Additionally, powerful fractional operating tools have been introduced, possessing extensive applications in the analysis and design of nonlinear control systems. Singular systems are governed by so-called singular differential equations, endowing the systems with many special features not found in classical systems. The approaches of fractional order control systems, which borrow from those of integer order control systems, are attracting increasing attention within the control field.

We invite the submission of high-quality articles in this field by researchers and experts in academia and industry.

Dr. Jin-Xi Zhang
Dr. Xuefeng Zhang
Prof. Dr. Driss Boutat
Dr. Da-Yan Liu
Guest Editors

Manuscript Submission Information

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