Smart Cyber-Physical Systems: Challenges and Research

Dear Colleagues,

Various applications of Cyber-Physical Systems (CPSs) can be found in almost all areas of human life, including manufacturing systems, smart grids, robotics, transportation systems, medical devices, the military, home networks, excavation data analysis and smart buildings. CPSs integrate computational and communication features alongside control and monitoring techniques. The aim of this Special Issue is to discuss the latest advances in the design, modelling, specification, analysis, verification and application of CPSs and digital systems. This Special Issue of Applied Sciences welcomes the submission of papers that attend to interdisciplinary research areas and a wide range of topics:

Control techniques:

• Control systems, concurrent control systems, automatic control and robotics.
• Distributed and networked control systems.
• Control algorithms and methodologies.

Design, analysis and verification:

• Design methodologies of CPS and digital systems.
• Model-based design, including Model-Driven Development, Unified Modeling Language (UML, SysML), etc.
• Mixed-signal design.
• Concurrency modeling and analysis of digital systems.
• Optimization techniques.
• Verification and validation techniques, including formal verification methods.
• Performance evaluation.

Software and hardware of digital systems:

• Computation models, including mathematical descriptions and models.
• Real-time systems, including real-time sensing and computing.
• Embedded systems.
• Programmable devices, including logic synthesis and implementation methods.

Networking in CPS:

• Networked embedded systems.
• Wireless sensor networks.
• Internet of things, including aspects of designing, organization and implementation.

Applications of different methods for big data analysis:

• Autonomous, adaptive and cooperative CPS.
• Mobile, wearable, and implantable CPS in healthcare.
• Cognitive CPS with perception, learning, and optimal decision making.
• Reference architectures for various application domains.
• Intelligent algorithms for big data analysis.
• Data mining, music data mining
• Smart grids, power generation and distribution, power systems.
• Smart cities, home area networks (HANs).
• Manufacturing, flexible manufacturing systems, smart factories, Industry 4.0.
• Reconfigurable control systems (including distributed and integrated systems).
• Dependable CPS (cryptology, security algorithms, security aspects).

Dr. Tomasz Rudnicki
Prof. Dr. Adam Milik
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. Applied Sciences is an international peer-reviewed open access semimonthly 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.

• cyber-physical system
• digital systems
• control systems
• design, analysis and verification
• reconfigurable control systems
• embedded systems
• Industry 4.0