Symmetry/Asymmetry in Intelligent Control System
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 2411
Special Issue Editor
Special Issue Information
Dear Colleagues,
Intelligent control systems have become indispensable in a wide range of modern engineering applications, from autonomous vehicles and robotics to industrial automation and smart energy systems. In recent years, the field has evolved from classical model-based methodologies toward hybrid paradigms that integrate data-driven and learning-based techniques. Within this evolution, a key—yet often underexplored—aspect is the role of symmetry and asymmetry in both system dynamics and control architectures. Symmetry in control systems can enhance stability, simplify modeling, enable structure-preserving design, and reduce computational complexity. Conversely, asymmetry naturally arises in real-world systems due to disturbances, constraints, heterogeneous agents, structural imbalance, or learning-induced adaptations. Such asymmetries necessitate robust, adaptive, and learning-enabled control strategies. A systematic understanding of how symmetry and asymmetry influence stability, performance, robustness, and scalability is therefore essential for advancing next-generation intelligent control systems.
This Special Issue aims to gather original research and review articles addressing theoretical developments, algorithmic innovations, and practical applications related to symmetry/asymmetry in intelligent and learning-based control systems. Contributions from both classical and data-driven control perspectives are welcome.
Topics of interest include, but are not limited to, the following:
- Symmetry in system dynamics and control design;
- Asymmetry in adaptive, robust, or learning-based controllers;
- Symmetry-aware observer and state estimation techniques;
- Learning-based and data-driven control (e.g., reinforcement learning, neural network control);
- Hybrid model-based and learning-integrated control frameworks;
- Distributed and multi-agent control with structural symmetry or asymmetry;
- Role of symmetry/asymmetry in fault diagnosis and fault-tolerant control;
- Intelligent control of systems with uncertainties, constraints, or unbalanced structures;
- Applications in robotics, autonomous systems, energy systems, and cyber-physical systems.
We invite researchers and practitioners to contribute high-quality articles that demonstrate how symmetry or asymmetry—whether explicitly modeled or implicitly learned—can be systematically incorporated to advance the theory and practice of intelligent control systems.
We look forward to your valuable contributions.
Dr. Gridsada Phanomchoeng
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 250 words) can be sent to the Editorial Office for assessment.
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 in control systems
- asymmetric control design
- intelligent control
- adaptive control
- nonlinear systems
- robust control
- learning-based control
- reinforcement learning for control
- neural network control
- data-driven control
- observer design
- fault-tolerant control
- distributed control
- autonomous systems
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