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Information
Special Issues
Future Access Enablers of Ubiquitous and Intelligent Infrastructures
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Future Access Enablers of Ubiquitous and Intelligent Infrastructures

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (1 November 2021) | Viewed by 3339

Special Issue Editors

Prof. Dr. Dragan Peraković

E-Mail Website
Guest Editor
Department of Information and Communication Traffic, Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
Interests: innovative communication ecosystem; digital forensic; communication security; Industry 4.0; machine learning; AI
Special Issues, Collections and Topics in MDPI journals
Dr. Lucia Knapčíková

E-Mail Website
Guest Editor
Faculty of Manufacturing Technologies with a seat in Prešov, Technical University of Košice, Bayerova 1, 08001 Prešov, Slovakia
Interests: quality assurance engineering; industrial engineering; mechanical engineering; Industry 4.0; ICT; composites; waste materials; manufacturing; circular economy
Special Issues, Collections and Topics in MDPI journals
Dr. Brij B Gupta

E-Mail Website
Guest Editor
National institute of Technology Kurukshetra, India
Interests: artificial intelligence; information security; cyber security; intrusion detection; cloud security, mobile security, web security, big data analytics; botnet detection; phishing; ddos attacks; network performance evaluation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will provide a venue for publishing the latest research and developments in the area of complex communication ecosystems of future access enablers of ubiquitous and intelligent infrastructures. Extensive use of information and communication technologies has led to the development of various new concepts and paradigms such as the Internet of Things, Cloud Computing, Big Data, and Artificial Intelligence. Such concepts are used today in every environment, business, or private organization with the purpose of increasing business efficiency, development of new innovative services, and optimization of business processes. In such an ecosystem of interconnected elements and advanced communication between humans and machines, a great challenge is to achieve and retain the required level of security and privacy. Specific emphasis is on the presentation of research results in the field of security of innovative services and intelligent infrastructure in traffic transport logistic ecosystems. 

Prof. Dr. Dragan Peraković
Dr. Lucia Knapčíková
Dr. Brij B Gupta
Guest Editors

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. Information 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 1600 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

  • Future access networks
  • Internet of Things and Smart City
  • Internet of Things and Industry 4.0/IIoT
  • IoT/xIoT aplication
  • Smart Enviroment applications
  • Communications Infrastructures
  • Computing Infrastructures
  • 5G / 6G
  • Security aspects in communications
  • Security aspects in data processing
  • Signal processing
  • Multimedia
  • Smart grids
  • Quantum Communication Infrastructure
  • AI in digital security
  • Digital forensic
  • AI in future forensic
  • Quality of service (QoS)
  • Quality of Experience (QoE)
  • Assistive technologies
  • Society 5.0

Published Papers (1 paper)

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Research

20 pages, 11575 KiB  
Article
Robustness Analysis of an Electrohydraulic Steering Control System Based on the Estimated Uncertainty Model
by Alexander Mitov, Tsonyo Slavov and Jordan Kralev
Information 2021, 12(12), 512; https://0-doi-org.brum.beds.ac.uk/10.3390/info12120512 - 09 Dec 2021
Cited by 4 | Viewed by 2367
Abstract
The impossibility of replacing hydraulic drives with other type drives in heavy duty machinery is the main reason for the development of a system for controlling hydraulic power steering. Moreover, the need for remote automatic control of the steering in specific types of [...] Read more.
The impossibility of replacing hydraulic drives with other type drives in heavy duty machinery is the main reason for the development of a system for controlling hydraulic power steering. Moreover, the need for remote automatic control of the steering in specific types of mobile machinery leads to significant scientific interest in the design of embedded systems for controlling electro-hydraulic steering units. This article introduces an approach, which has been developed by authors, for robust stability and robust performance analysis of two embedded systems for controlling electro-hydraulic power steering in mobile machinery. It is based on the suggested new more realistic “black box” SIMO model with output multiplicative uncertainty. The uncertainty is obtained by parameters confidence interval and Gauss approximation formula. The embedded control systems used a linear-quadratic Gaussian (LQG) controller and H∞ controller. The synthesis of the controllers was performed on the basis of a nominal part of an uncertainty model. Robust stability and robust performance analyses were performed in the framework of a so-called structured singular value, μ. The obtained theoretical results were experimentally approved by real experiments with both of the developed control systems, which were physically realized as a laboratory test rig. Full article
(This article belongs to the Special Issue Future Access Enablers of Ubiquitous and Intelligent Infrastructures)
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