Symmetry/Asymmetry in Intelligent Control Systems

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 732

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, UFU—Federal University of Uberlandia, Uberlandia 38400-902, Brazil
Interests: symmetry in control systems; adaptive control; nonlinear dynamics; cooperative robotics; sensor fusion; predictive control; system stability and robustness

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Guest Editor
Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei 36307-352, Brazil
Interests: DC–DC converters; AC–DC converters; photovoltaic systems; power converter topologies
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Special Issue Information

Dear Colleagues,

This Special Issue explores how symmetry and asymmetry influence the design, performance, and adaptability of intelligent control systems. In symmetrical control systems, uniform responses across components can enhance stability, predictability, and reliability, particularly in networked control systems and distributed sensor networks. By contrast, asymmetry in control strategies introduces flexibility and adaptability, which are essential in cooperative robotics and adaptive control applications, enabling intelligent systems to operate effectively in complex and dynamic environments. We invite contributions that address how symmetrical and asymmetrical configurations affect control system robustness, energy efficiency, and response adaptability, aiming to highlight the theoretical and practical advancements enabled by symmetry principles in intelligent control systems across various applications.

Dr. Aniel Silva de Morais
Prof. Dr. Fernando Lessa Tofoli
Guest Editors

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Keywords

  • symmetry in control systems
  • asymmetry in control
  • intelligent control
  • adaptive control
  • nonlinear dynamics
  • cooperative robotics
  • sensor fusion
  • stability and robustness
  • energy efficiency
  • networked control systems

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Published Papers (1 paper)

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Research

20 pages, 5231 KiB  
Article
PMSM Speed Control Based on Improved Adaptive Fractional-Order Sliding Mode Control
by Fengshuo Bian and Ying-Ren Chien
Symmetry 2025, 17(5), 736; https://doi.org/10.3390/sym17050736 - 10 May 2025
Viewed by 454
Abstract
Addressing the problem of poor robustness and anti-interference ability in the permanent magnet synchronous motor (PMSM) speed control system, an adaptive fractional-order sliding mode controller based on a fractional-order sliding mode disturbance observer is proposed. Firstly, a mathematical model of a PMSM is [...] Read more.
Addressing the problem of poor robustness and anti-interference ability in the permanent magnet synchronous motor (PMSM) speed control system, an adaptive fractional-order sliding mode controller based on a fractional-order sliding mode disturbance observer is proposed. Firstly, a mathematical model of a PMSM is established, which combines adaptive control with fractional order sliding mode control to effectively reduce the drawbacks of traditional integer order sliding mode control and improve the control accuracy of the system. At the same time, a new sliding mode approach law is used to replace the traditional exponential approach law, which reduces system buffeting and improves control performance. We use a fractional-order sliding mode observer to observe external disturbances and perform feedforward compensation on the observed disturbance values to improve the system’s anti-interference ability. By combining adaptive control with fractional-order sliding mode techniques, the system mitigates limitations of traditional integer-order approaches. It enhances symmetry preservation in system response and control accuracy under asymmetric conditions. The simulation results show that the motor system using the improved sliding mode disturbance observer and fractional order sliding mode controller can enhance system stability and anti-interference ability, and has better dynamic and steady-state performance. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Intelligent Control Systems)
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