Smart Embedded Systems and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 5503

Special Issue Editors


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Guest Editor
École Nationale des Sciences Appliquées, Sidi Mohamed Ben Abdellah University, Fez BP 72, Morocco
Interests: internet of things; design; model-based design; processes; safety critical embedded systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Laboratory for Analysis and Architecture of Systems (LAAS-CNRS), Institute of Higher Education and Research (INSA), Université de Toulouse, 31031 Toulouse, France
Interests: systems engineering; model-based engineering; safety critical embedded software and systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Embedded systems smartly integrate hardware and software components. They sometimes are organized as systems of systems. They usually are massively connected. They often are safety critical. Applications of embedded systems are generally found in renewable energy, Industry 4.0, medical, aerospace, automotive, military applications, etc., such as, autonomous vehicle, rapid storage technology, modern aircraft, within telecommunications networks. Moreover, the quality of embedded systems is assessed by following specialized standards according to the application domain, such as Autosar, Misra C, Aspice, ISO26262 for the automotive industry, or DO-178C and DO254 for the avionic industry.

The design of such smart connected embedded systems requires advanced digital technologies, such as artificial intelligence, Internet of Things or blockchains, to integrate a variety of modern techniques in order to improve system performance in various applications.

This Special Issue covers a wide range of challenges, technologies and state of the art for the design, development and realization of these smart and complex embedded systems and their applications; i.e., software and hardware development, with the use of advanced digital technologies, and quality assurance for critical applications.

Topics include but are not limited to:

- Real-time embedded system;
- Eco-friendly embedded systems;
- Connected embedded system;
- Synchronous programming for embedded systems;
- Co-design hardware/software for embedded systems;
- Multi-core and system-on-chip (SoC) architectures and programmation;
- Blockchain based security for embedded systems;
- Verification and validation of embedded systems;
- Virtual prototyping and simulation of embedded systems;
- Quality assessment and modeling of embedded systems;
- Model-based safety assessment of embedded systems;
- Process development of embedded systems;
- Use, interests and risks of AI for embedded systems;
- Systems engineering deployment for the development of embedded systems;
- Model-based systems engineering for embedded applications;
- Applications of embedded systems in energy, Industry 4.0, aerospace, space, drone, automotive, medicine;

Prof. Dr. Saad Motahhir
Prof. Dr. Claude Baron
Guest Editors

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Keywords

  • embedded system
  • modern technologies
  • quality assurance
  • automotive
  • avionic
  • renewable energy

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Published Papers (1 paper)

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Research

37 pages, 14436 KiB  
Article
A Predictive Control Strategy for Energy Management in Micro-Grid Systems
by Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, Najib El kamoun and Khalid Zine-Dine
Electronics 2021, 10(14), 1666; https://doi.org/10.3390/electronics10141666 - 13 Jul 2021
Cited by 35 | Viewed by 3181
Abstract
The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) [...] Read more.
The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control. Full article
(This article belongs to the Special Issue Smart Embedded Systems and Applications)
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