Advances in Control Systems and Symmetry/Asymmetry

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

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1902

Special Issue Editor


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Guest Editor
School of Information Science and Engineering, Northeastern University, 110819 Shenyang, China
Interests: underactuated system modeling and analysis; nonlinear system motion control; trajectory planning

Special Issue Information

Dear Colleagues,

A nonlinear system with symmetry can be decomposed into interconnected lower-dimensional subsystems, where the subsystem architecture is determined by the symmetry group's structure. For general nonlinear control systems, the concept of symmetry can be used to analyze stability, design controllers, and construct observers. Furthermore, kinetic symmetry can be used to address the control issue of high-order nonlinear mechanical systems with complex underactuated characteristics and input coupling through reduction. Cascade nonlinear systems can be obtained through the kinetic symmetry-based decoupling framework, e.g., strict feedback form, strict feedforward form, and nontriangular quadratic form. The applications are broad in advanced robot-related research, e.g., unmanned vehicles, manipulators, spacecrafts, bionic robots, humanoid robots, etc. Additionally, many robotic systems simultaneously exhibit symmetric and asymmetric constraints. Hence, addressing the control problem in the presence of time-varying asymmetric input/output constraints is also an important issue.

The focus of this Special Issue is to continue to advance research on topics relating to advances in control systems and symmetry/asymmetry. Topics that are invited for submission include, but are not limited to, the following:

  • Symmetric/Asymmetric control constraints;
  • Intelligent optimal control;
  • Neural-network-based control;
  • Event-triggered control;
  • Adaptive iterative learning control;
  • Nonlinear tracking control;
  • Robust control;
  • Stochastic system control.

Dr. Yiming Wu
Guest Editor

Manuscript Submission Information

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Keywords

  • symmetric/asymmetric control constraints
  • intelligent optimal control
  • neural-network-based control
  • event-triggered control
  • adaptive iterative learning control
  • nonlinear tracking control
  • robust control
  • stochastic system control

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Published Papers (1 paper)

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Research

20 pages, 3252 KiB  
Article
A Neural Network-Based State-Constrained Control Strategy for Underactuated Aerial Transportation Systems Within Narrow Workspace
by Yongtao Zhou, Yiming Wu, Dingkun Liang and Haibin Shi
Symmetry 2024, 16(11), 1512; https://doi.org/10.3390/sym16111512 - 11 Nov 2024
Viewed by 1137
Abstract
The aerial transportation system belongs to a symmetrical system and has recently garnered increasing attention from researchers due to its broad application range and convenient operation. The control difficulty of the aerial transportation system lies in the fact that the load is not [...] Read more.
The aerial transportation system belongs to a symmetrical system and has recently garnered increasing attention from researchers due to its broad application range and convenient operation. The control difficulty of the aerial transportation system lies in the fact that the load is not directly actuated, posing a significant challenge for state-constrained control. Taking the motion of an unmanned aerial vehicle (UAV) suspension transportation system within complex pipelines as an example, this paper employs the the swept volume signed distance field (SVSDF) method to search for state boundaries, which is an aspect not considered or elaborated in many state-constrained control approaches. Furthermore, adaptive state-constrained control based on the radial basis function (RBF) neural network is utilized for the case of experiencing unknown air resistance. The convergence of the proposed method for underactuated and actuated state variables is theoretically demonstrated based on the Lyapunov technique. Compared with existing methods, the error integral index demonstrates that the proposed method displays better convergence capability in the simulation section when considering state constraints under disturbance and air resistance. Full article
(This article belongs to the Special Issue Advances in Control Systems and Symmetry/Asymmetry)
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