Cyber – Physical Systems (CPS)

Motivation:

For more than 25 years, extensive software/hardware research and development efforts had been made to solve problems in real-time, safety-critical, and embedded systems. Novel techniques and solutions had been developed. However, the increasing performance of embedded systems and advances in autonomous systems and communication technologies have led to a demand for more complex and autonomous systems in many application areas.

In several novel application areas such as smart power grids, renewable energy and power management, routing in current and future Internet applications, traffic planning or traffic control systems in logistics, smart health systems, Internet-of-Things, connected and collaborative smart mobility solutions, and self-driving vehicles, novel technological developments have raised a class of novel cross-disciplinary R&D topics where modeling, implementation, analysis, and systematic testing by incorporating simulative approaches require very close collaboration between researchers and developers from the disciplines involved.

Intelligent cyber-physical systems, such as self-driving cars, smart homes or e-health solutions, will increasingly influence our daily lives. They will deal with increasingly insecure and changing environments while having to comply with strict security and safety requirements. Therefore, features such as self-awareness and techniques such as runtime monitoring, self-adaptation and verification will become increasingly important. With increasing influence on our lives, new requirements such as explainability or interpretability are also gaining importance.

This track aims at gathering ideas, challenges, and solutions related to the design, engineering and quality assurance of modern cyber-physical systems.

Topics

Topics of interest include, but are not restricted to:

  • Design and engineering for these cyber-physical systems:
    • Models, architectures, and design patterns for CPS
    • Model-based and component-based software development approaches for CPS
    • Middleware and runtime environment for CPS
    • Testing, validation and verification of CPS
    • Metrics, approaches & tools to investigate, observe, and improve CPS
    • Timing and other resource analysis of software and systems architectures for CPS
    • context-awareness, self-adaptivity, intelligence of CPS
    • Explainability & interpretability of autonomous CPS
    • CPS software in the edge-cloud continuum
    • Industrial best practices, experience reports, and tool demonstrations
  • Application domains for cyber-physical systems:
    • Automotive, ground transportation including railway, interconnected mobility
    • Smart and interconnected logistics
    • Next generation manufacturing in factories
    • Aerospace
    • Smart healthcare, medical research, (artificial) immune systems
    • Energy production, distribution, storage, coordination, and supply
    • Consumer electronics, interconnected society
    • Robotics

Track/Session Organizers

Verena Klös, Technische Universität Dresden, Germany verena.kloes@tu-dresden.de

Saad Mubeen, Mälardalen University, Sweden saad.mubeen@mdu.se

Karl-Erwin Großpietsch, Euromicro

Konrad Kloeckner, Euromicro