Advances in Control Theory, Dynamic Systems, and Complex Networks

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 735

Special Issue Editor


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Guest Editor
Centro Universitario de los Lagos, Universidad de Guadalajara, Av. Juárez 976, Col Centro, Guadalajara 44100, Jalisco, Mexico
Interests: automatic control; identification; artificial neural networks

Special Issue Information

Dear Colleagues,

Currently, the challenging needs that exist across different areas of society, such as industrial, health, automotive, metal–mechanical processes, housing, security, aerospace, food, communication, transportation, and many others, cause the prioritization of technological advances in science. In these technological advancements, an understanding of physical systems as dynamic systems is of crucial importance, since, in most cases, the application of new advanced control algorithms undoubtedly intervenes in the process at hand. In such intercessions, the main objective is to maintain the systems that follow reference signals with minimal tracking error. These are robust to parametric variations, external perturbations, modeling errors, and unmodeled dynamics. In turn, knowledge of complex networks represents a very powerful tool that analytically allows us to understand interconnections and patterns in different physical or virtual systems, enabling the discovery of different structures and assessment of their impact.

The main objectives of this Special Issue include publishing the most recent advances in control theory, dynamic systems and complex networks to allow applications in different areas of science with real-world use.

We invite authors to send their contributions to this Special issue to address real problems and contribute to advances in automatic control, dynamic systems, and complex networks.

Prof. Dr. Carlos E. Castañeda
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • modelling physical systems
  • dynamic systems
  • mathematical model-based algorithms
  • new feedback control algorithms
  • simulation implementation
  • real-time implementation
  • stability analysis
  • complex systems
  • complex networks
  • synchronization of complex networks
  • structures of complex networks

Published Papers (1 paper)

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Research

16 pages, 1352 KiB  
Article
Event-Triggered Synchronization of Coupled Neural Networks with Reaction–Diffusion Terms
by Abulajiang Aili, Shenglong Chen and Sibao Zhang
Mathematics 2024, 12(9), 1409; https://doi.org/10.3390/math12091409 - 4 May 2024
Viewed by 488
Abstract
This paper focuses on the event-triggered synchronization of coupled neural networks with reaction–diffusion terms. At first, an effective event-triggered controller was designed based on time sampling. It is worth noting that the data of the controller for this type can be updated only [...] Read more.
This paper focuses on the event-triggered synchronization of coupled neural networks with reaction–diffusion terms. At first, an effective event-triggered controller was designed based on time sampling. It is worth noting that the data of the controller for this type can be updated only when corresponding triggering conditions are satisfied, which can significantly reduce the communication burden of the control systems compared to other control strategies. Furthermore, some sufficient criteria were obtained to ensure the event-triggered synchronization of the considered systems through the use of an inequality techniques as well as the designed controller. Finally, the validity of the theoretical results was confirmed using numerical examples. Full article
(This article belongs to the Special Issue Advances in Control Theory, Dynamic Systems, and Complex Networks)
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