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Symmetry and Its 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 2024 | Viewed by 755

Special Issue Editor


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Guest Editor
School of Automation, Qingdao University, Qingdao 266071, China
Interests: control; refrigeration

Special Issue Information

Dear Colleagues,

In recent decades, controlled objects in engineering have been extended to various complex systems. The complex nonlinear dynamics of these systems increase the difficulty of system modeling and control. As a consequence, conventional control methods are no longer effective or applicable in many complex systems, such as intelligent robot systems and complex industrial process control systems. Therefore, it is necessary to continue to conduct in-depth research on modeling and control for nonlinear systems. Symmetry is universally present in nonlinear systems. By studying the phenomenon in nonlinear systems, we can further understand the complex dynamics in the system, thereby achieving accurate modeling and effective control of the system. Research on the theory of symmetry can provide new ideas for the development of new control strategies. Thus, this Special Issue on “Symmetry and Its Applications in Automation and Control Systems” aims to provide promising investigations on various symmetry control methods and exploit potential issues and challenges for future studies in related areas.

Dr. Jiapeng Liu
Guest Editor

Manuscript Submission Information

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Keywords

  • symmetry control
  • control systems
  • control theory
  • symmetry applications
  • automation control

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Published Papers (1 paper)

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Research

15 pages, 347 KiB  
Article
Stability Analysis and Stabilization of General Conformable Polynomial Fuzzy Models with Time Delay
by Imen Iben Ammar, Hamdi Gassara, Mohamed Rhaima, Lassaad Mchiri and Abdellatif Ben Makhlouf
Symmetry 2024, 16(10), 1259; https://doi.org/10.3390/sym16101259 - 25 Sep 2024
Viewed by 654
Abstract
This paper introduces a sum-of-squares (S-O-S) approach to Stability Analysis and Stabilization (SAS) of nonlinear dynamical systems described by General Conformable Polynomial Fuzzy (GCPF) models with a time delay. First, we present GCPF models, which are more general compared to the widely recognized [...] Read more.
This paper introduces a sum-of-squares (S-O-S) approach to Stability Analysis and Stabilization (SAS) of nonlinear dynamical systems described by General Conformable Polynomial Fuzzy (GCPF) models with a time delay. First, we present GCPF models, which are more general compared to the widely recognized Takagi–Sugeno Fuzzy (T-SF) models. Then, we establish SAS conditions for these models using a Lyapunov–Krasovskii functional and the S-O-S approach, making the SAS conditions in this work less conservative than the Linear Matrix Inequalities (LMI)-based approach to the T-SF models. In addition, the SAS conditions are found by satisfying S-O-S conditions dependent on membership functions that are reliant on the polynomial fitting approximation algorithm. These S-O-S conditions can be solved numerically using the recently developed SOSTOOLS. To demonstrate the effectiveness and practicality of our approach, two numerical examples are provided to demonstrate the effectiveness and practicality of our approach. Full article
(This article belongs to the Special Issue Symmetry and Its Applications in Automation and Control Systems)
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