Recent Advances in Industrial Control Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Industrial Systems".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1206

Special Issue Editor


E-Mail Website
Guest Editor
Institute of Automatic Control, Electronics and Electrical Engineering, University of Zielona Góra, 65-516 Zielona Góra, Poland
Interests: control systems; formal verification; petri nets; model checking; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

At present, control systems are entering the new era of Industry 5.0, with digital and green transitions, in addition to the approaching Industry 6.0, supported by intelligence. The abilities of humans and machines have been integrated to gain the best possible outcomes. In this context, control systems take on a new meaning.

This Special Issue is dedicated to interdisciplinary research in the area of industrial control systems, especially connected, but not limited, to Industry 5.0 and Industry 6.0. This calls for cutting-edge contributions to fundamental theoretical research as well as its application in practice.

This Special Issue covers, but is not limited to, the following topics:

  • Artificial intelligence for industrial applications
  • Computational intelligence in control
  • Control theory in machinery and engineering
  • Industrial control systems
  • Industry 5.0
  • Industry 6.0
  • Intelligent control
  • Intelligent industrial processes
  • Modern electronic systems
  • The specification and verification of industrial control systems

Dr. Iwona Grobelna
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

  • control systems
  • industrial systems
  • Industry 4.0
  • Industry 5.0
  • Industry 6.0
  • intelligent control

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 5596 KiB  
Article
Exploring the Impact of Battery Charge Reduction Rate and the Placement of Chargers on AGV Operation
by Marius Gade, Matthias Schedel, Yuming Feng and Reggie Davidrajuh
Machines 2024, 12(12), 859; https://doi.org/10.3390/machines12120859 - 27 Nov 2024
Viewed by 372
Abstract
This paper presents a simulation model to study the effect of the battery charging rate of Automated Guided Vehicles (AGVs) on the overall output of a toy car production environment. This paper uses Modular Petri Nets for modeling and the General Petri Net [...] Read more.
This paper presents a simulation model to study the effect of the battery charging rate of Automated Guided Vehicles (AGVs) on the overall output of a toy car production environment. This paper uses Modular Petri Nets for modeling and the General Petri Net Simulator (GPenSIM) for model implementation on MATLAB and simulation. The main focus of this paper is to analyze the operational efficiency of AGVs under varying conditions, such as the impact of battery charge reduction rates and the strategic placement of Charging Stations within the production line. By employing Modular Petri Nets implemented with GPenSIM, this paper presents a detailed model that captures the dynamics (movements and interactions) of AGVs in a simulated manufacturing environment. The model is also extensible, as newer functionalities can be added to it as Petri Modules. This paper specifically focuses on two critical operational parameters: (a) the number of AGVs and their battery charge reduction rate; (b) the number of Charging Stations. In summary, the goal, aim, and novelty of this paper is to provide a simpler yet effective model to practitioners so that they can study and experiment without needing advanced mathematical skills. Full article
(This article belongs to the Special Issue Recent Advances in Industrial Control Systems)
Show Figures

Figure 1

Back to TopTop