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Symmetry
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Symmetry/Asymmetry of Applications in Automation and Control Systems
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Symmetry/Asymmetry of 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: 31 December 2025 | Viewed by 1019

Special Issue Editors

Dr. Xiaoliang Wang

E-Mail Website
Guest Editor
The School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Dongchuan Road No. 800, Shanghai 200240, China
Interests: design and evaluation of spaceborne GNSS receiver for multiple missions; weak GNSS signal acquisition & tracking; ultra-tight coupled GNSS/Inertial technology in space; autonomous real-time orbit determination onboard; nonlinear Kalman Filter technology; nonlinear estimation and control of time-delayed systems
Special Issues, Collections and Topics in MDPI journals
Dr. Ping Wang

E-Mail Website
Guest Editor
School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China
Interests: rehabilitation robotics; control systems engineering; transportation; intelligent transport systems; deep learning
Special Issues, Collections and Topics in MDPI journals
Dr. Qiang Shen

E-Mail Website
Guest Editor
The School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Dongchuan Road No. 800, Shanghai 200240, China
Interests: control and estimation; active model discrimination; fault diagnosis and tolerant control; control allocation

Special Issue Information

Dear Colleagues,

The natural beauty of symmetry and asymmetry exists in almost every automation and control system. For example, electronic rotors, aircraft wings, and spacecraft flywheel structures possess excellent symmetry in actuators, which contain the most important block of closed-loop control systems. Due to machining defects, these controlled objects are practically asymmetric, and external perturbations somehow break the symmetry. Therefore, we need to design sophisticated algorithms to ensure that these elegant systems can perform smoothly. For this Special Issue, we encourage authors to contribute original high-quality work about the symmetry and applications in automation and control systems, and in all areas of systems and control interpreted in a broad sense that is evolving constantly.

Dr. Xiaoliang Wang
Dr. Ping Wang
Dr. Qiang Shen
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.

Keywords

  • automatic control
  • adaptive control
  • model predictive control
  • guidance, navigation and control
  • intelligent control

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

Published Papers (3 papers)

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11 pages, 3172 KiB  
Article
Self-Coupling PID Control with Adaptive Transition Function for Enhanced Electronic Throttle Position Tracking
by Cheng Liu, Peilin Liu and Yanming Cheng
Symmetry 2025, 17(5), 673; https://doi.org/10.3390/sym17050673 (registering DOI) - 28 Apr 2025
Viewed by 24
Abstract
The objective of this study was to enhance the tracking effectiveness of the position adjustment for the electronic throttle in electric vehicles, as well as boost fuel efficiency and the dynamic performance of the vehicles. Firstly, a mathematical model, which pertains to the [...] Read more.
The objective of this study was to enhance the tracking effectiveness of the position adjustment for the electronic throttle in electric vehicles, as well as boost fuel efficiency and the dynamic performance of the vehicles. Firstly, a mathematical model, which pertains to the electronic throttle system, is established, and subsequently, the nonlinear uncertain system is made into a linear uncertain system. Subsequently, a self-coupling PID control law is designed, and an analysis is conducted on the system’s stability and its capacity to reject disturbances. Secondly, taking into consideration that the parameters of the PID controller with self-coupling mechanism are related to the system’s response speed, disturbance rejection capability, and overshoot, a self-adjusting speed factor transition function is put forward to address the conflict between speed and overshoot. Finally, numerical simulations and experimental tests are carried out. The results verify that, compared with the conventional PID controller, ADRC (Active Disturbance Rejection Control), and fuzzy PID, the proposed controller has a faster response speed, higher control accuracy, and better robustness. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry of Applications in Automation and Control Systems)
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18 pages, 533 KiB  
Article
Composite Anti-Disturbance Static Output Control of Networked Nonlinear Markov Jump Systems with General Transition Probabilities Under Deception Attacks
by Jing Lin, Liming Ding and Shen Yan
Symmetry 2025, 17(5), 658; https://doi.org/10.3390/sym17050658 (registering DOI) - 26 Apr 2025
Viewed by 56
Abstract
This paper studies the composite anti-disturbance static output feedback control problem of networked nonlinear Markov jump systems with general transition probabilities subject to multiple disturbances and deception attacks. The transition probabilities cover the known, uncertain with known bounds, and unknown cases. The unmatched [...] Read more.
This paper studies the composite anti-disturbance static output feedback control problem of networked nonlinear Markov jump systems with general transition probabilities subject to multiple disturbances and deception attacks. The transition probabilities cover the known, uncertain with known bounds, and unknown cases. The unmatched disturbance and deception attacks are attenuated by the static output controller, while the matched disturbance is observed and compensated by the disturbance observer. Then, a composite anti-disturbance static output controller, including a linear part and a nonlinear part, is constructed to satisfy the stochastic H∞ stability. By using the Finsler lemma, sufficient conditions formed as symmetric linear matrix inequalities are derived to design the gains of disturbance observer and the output feedback controller. Finally, some simulations are given to illustrate the feasibility of the developed strategy. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry of Applications in Automation and Control Systems)
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19 pages, 2185 KiB  
Article
State Compensation Model in Adaptive Event-Triggered Predictive Control: A Novel Approach to Mitigating Moving Bottlenecks
by Jingwen Yang and Ping Wang
Symmetry 2025, 17(1), 129; https://doi.org/10.3390/sym17010129 - 17 Jan 2025
Viewed by 622
Abstract
Moving bottlenecks, characterized by their high frequency and unpredictability, pose significant challenges to timely response and management, often resulting in road congestion and increased risk of traffic accidents. To address these issues, this paper proposes an adaptive event-triggered variable speed limit (AET-VSL) method [...] Read more.
Moving bottlenecks, characterized by their high frequency and unpredictability, pose significant challenges to timely response and management, often resulting in road congestion and increased risk of traffic accidents. To address these issues, this paper proposes an adaptive event-triggered variable speed limit (AET-VSL) method based on a state compensation model, which emphasizes the concept of symmetry in the optimization of multi-segment speed limits. This symmetry approach facilitates a balanced and efficient control strategy that adjusts speed limits in a way that harmonizes traffic flow across multiple road segments, reducing congestion and improving overall traffic stability. The state compensation model builds on the classical METANET traffic flow model, incorporating coordination between road segments to reduce congestion while minimizing disruptions to traffic flow stability. By dynamically adjusting speed limits using real-time traffic data, the AET-VSL method addresses fluctuations in traffic conditions and ensures adaptive control to manage bottlenecks efficiently. A simulation framework was employed to evaluate the proposed strategy across varying traffic scenarios. Results demonstrate that AET-VSL outperforms traditional methods, providing consistent improvements in traffic performance. For instance, under low-traffic-flow conditions, AET-VSL reduced waiting time (WT) by 41.36%, potential collisions (PCs) by 51.92%, and fuel consumptionfuel consumption (FC) by 34.07%. This study highlights the novelty and effectiveness of AET-VSL, offering a scalable and reliable solution for dynamic traffic management and showcasing its potential to enhance traffic safety and efficiency. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry of Applications in Automation and Control Systems)
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