Symmetry in Intelligent Control and Application of Uncertain Nonlinear Systems

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

Deadline for manuscript submissions: 31 March 2025 | Viewed by 106

Special Issue Editors


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Guest Editor
College of Mathematical Sciences,Bohai University, 121010 Jinzhou, China
Interests: nonlinear system; intelligent control system; mathematical analysis

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Guest Editor
School of Electronic and Information Engineering, University of Science and Technology Liaoning, No. 189, Qianshan Middle Road, Lishan District, Anshan, China
Interests: fault-tolerant control; robust control; nonlinear control theory and method

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Guest Editor
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
Interests: theory and applications of nonlinear control

Special Issue Information

Dear Colleagues,

In the context of intelligent control design, symmetry is often considered in the system dynamics and actuator characteristics. Symmetric properties are utilized in the design of controllers for systems with symmetric dead-zones or actuator nonlinearities. Moreover, in the context of adaptive control for uncertain nonlinear systems, the consideration of symmetry is required to address constraints and uncertainties. For instance, adaptive neural network control techniques are developed for systems with asymmetric saturation actuators, highlighting the importance of handling asymmetry in control design. Symmetry is also a key aspect in the application of uncertain nonlinear systems. Various control strategies, such as Passivity-Based Control (PBC), are designed based on the assumption of system symmetry, especially in the lateral dynamics of intelligent vehicles. Additionally, the design of controllers for uncertain nonlinear systems often involves the consideration of symmetry and positive definiteness, especially in the presence of disturbances.

Prof. Dr. Huanqing Wang
Prof. Dr. Ming Chen
Dr. Cungen Liu
Guest Editors

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Keywords

  • neural network control
  • machine learning control
  • reinforcement learning
  • bayesian control
  • fuzzy control
  • neuro-fuzzy control
  • adaptive control
  • uncertain nonlinear systems

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Published Papers

This special issue is now open for submission.
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