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Symmetry
Special Issues
Symmetry and Its Applications in Automation and Control Systems
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Symmetry and Its Applications in Automation and Control Systems

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1827

Special Issue Editor

Dr. Jiapeng Liu

E-Mail
Guest Editor
School of Automation, Qingdao University, Qingdao 266071, China
Interests: control; refrigeration

Special Issue Information

Dear Colleagues,

In recent decades, controlled objects in engineering have been extended to various complex systems. The complex nonlinear dynamics of these systems increase the difficulty of system modeling and control. As a consequence, conventional control methods are no longer effective or applicable in many complex systems, such as intelligent robot systems and complex industrial process control systems. Therefore, it is necessary to continue to conduct in-depth research on modeling and control for nonlinear systems. Symmetry is universally present in nonlinear systems. By studying the phenomenon in nonlinear systems, we can further understand the complex dynamics in the system, thereby achieving accurate modeling and effective control of the system. Research on the theory of symmetry can provide new ideas for the development of new control strategies. Thus, this Special Issue on “Symmetry and Its Applications in Automation and Control Systems” aims to provide promising investigations on various symmetry control methods and exploit potential issues and challenges for future studies in related areas.

Dr. Jiapeng Liu
Guest Editor

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.

Keywords

  • symmetry control
  • control systems
  • control theory
  • symmetry applications
  • automation control

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

14 pages, 9746 KiB  
Article
A Two-Stage Welding Control System Combining Rule-Based and Data-Driven Vision
by Mingtian Ma, Hong Lu, Zidong Wu, Yongquan Zhang, He Huang, Weijie Dong, Zhi Liu, Zhangjie Li and Yongjie He
Symmetry 2025, 17(4), 611; https://doi.org/10.3390/sym17040611 - 18 Apr 2025
Viewed by 188
Abstract
With the development of welding automation and intelligence, computer vision-based welding process monitoring technologies have become increasingly applied. However, interference factors such as welding fumes, spatter, and intense arc light in the welding environment significantly affect the performance of existing welding monitoring and [...] Read more.
With the development of welding automation and intelligence, computer vision-based welding process monitoring technologies have become increasingly applied. However, interference factors such as welding fumes, spatter, and intense arc light in the welding environment significantly affect the performance of existing welding monitoring and control technologies. To address this issue, this paper proposes a novel method for extracting molten pool dimensions that integrates rule-based and data-driven vision approaches and introduces a welding speed control system that considers the stability of the welding process. The goal of this study is to develop a method that not only monitors the molten pool’s size but also evaluates its stability. In this system, the first stage improves the accuracy of molten pool recognition and dimension extraction through an enhanced method, while the second stage introduces a speed adjustment factor based on welding stability to achieve stable control of welding speed. Experimental results demonstrate that the proposed method shows high adaptability and extraction accuracy under various interference conditions. The welding speed control strategy significantly enhances the stability and symmetry of the welding process, with performance improvements of approximately 45% in stability compared to the conventional method. This leads to an overall improvement in weld quality. Full article
(This article belongs to the Special Issue Symmetry and Its Applications in Automation and Control Systems)
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15 pages, 347 KiB  
Article
Stability Analysis and Stabilization of General Conformable Polynomial Fuzzy Models with Time Delay
by Imen Iben Ammar, Hamdi Gassara, Mohamed Rhaima, Lassaad Mchiri and Abdellatif Ben Makhlouf
Symmetry 2024, 16(10), 1259; https://doi.org/10.3390/sym16101259 - 25 Sep 2024
Viewed by 1261
Abstract
This paper introduces a sum-of-squares (S-O-S) approach to Stability Analysis and Stabilization (SAS) of nonlinear dynamical systems described by General Conformable Polynomial Fuzzy (GCPF) models with a time delay. First, we present GCPF models, which are more general compared to the widely recognized [...] Read more.
This paper introduces a sum-of-squares (S-O-S) approach to Stability Analysis and Stabilization (SAS) of nonlinear dynamical systems described by General Conformable Polynomial Fuzzy (GCPF) models with a time delay. First, we present GCPF models, which are more general compared to the widely recognized Takagi–Sugeno Fuzzy (T-SF) models. Then, we establish SAS conditions for these models using a Lyapunov–Krasovskii functional and the S-O-S approach, making the SAS conditions in this work less conservative than the Linear Matrix Inequalities (LMI)-based approach to the T-SF models. In addition, the SAS conditions are found by satisfying S-O-S conditions dependent on membership functions that are reliant on the polynomial fitting approximation algorithm. These S-O-S conditions can be solved numerically using the recently developed SOSTOOLS. To demonstrate the effectiveness and practicality of our approach, two numerical examples are provided to demonstrate the effectiveness and practicality of our approach. Full article
(This article belongs to the Special Issue Symmetry and Its Applications in Automation and Control Systems)
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