Symmetry and Asymmetry in Network Control

Dear Colleagues,

Symmetry is a foundational concept in numerous fields, e.g., mathematics and physics. Coinciding with the rapid advancement of network control theory and artificial intelligence techniques, in recent years, researchers have increasingly applied symmetry theory to network control and artificial neural networks. Such applications and research, including pattern recognition and data understanding, demonstrate that symmetry and asymmetry structure substantially improve the performance of modern network control and neural networks, showcasing impressive results. Therefore, this Special Issue aims to provide a platform for presenting and discussing recent advancements in symmetrical and asymmetrical network control and their applications. We are pleased to invite you to participate in this Special Issue to progress research regarding symmetry and asymmetry theory and methods. This Special Issue covers pure research and applications within novel scopes related to symmetrical and asymmetrical network control. In addition, it deals with network and computer technologies, such as complex networks, neural networks, pattern recognition, big data processing, fault diagnosis, optimization algorithms, and so on.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Symmetrical and asymmetrical network control
• Pattern recognition
• Symmetrical and asymmetrical neural network structure
• Complex network analysis
• Network security analysis
• Big data processing
• Fault diagnosis and anomaly detection
• Cloud and edge computing optimization
• Non-linear dynamic systems optimization
• Control and optimization algorithm application

Dr. Yadong Xu
Dr. Sheng Li
Dr. Qidi Fu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• symmetrical and asymmetrical network control
• pattern recognition
• neural network
• complex network analysis
• network security
• big data processing
• fault diagnosis
• anomaly detection
• cloud computing
• non-linear dynamic systems
• control algorithm