Cyber Physical Systems

The next generation of smart Embedded Systems!

Cyber-physical systems are based on embedded software and have the ability to access and change properties of the real world by using sensors and actuators. In addition, cyber-physical systems are connected with one another through global networks like the Internet. Together with available content and services on the World Wide Web, they build networks of systems (“Systems of Systems”) that directly interact with the physical world. Within these networks, cyber-physical systems collaborate with one another to achieve an overall purpose of its users.

The additional benefit that cyber-physical systems provide will lead to radical changes in many application fields (e.g. energy, mobility, healthcare) and will have an impact on our daily lives and how they are affected by software. In the future, for instance, networks of cyber-physical systems in mobility management will enable us to use our limited energy resources more efficiently, allow reducing environmental pollution, and facilitate preserving the physical integrity of human beings.

Due to the growing pervasion of cyber-physical systems, the amount of sensors and actuators in our living environments will dramatically increase in the medium to long-term. Driven by the seamless integration of cyber-physical systems, this will in turn lead to entirely new opportunities to make our daily lives more comfortable and safe, while at the same time protect our environment and the world in which we are living.

Research Topics

  • Model-based Engineering of Cyber Physical Systems
  • Dynamic collaboration ("Systems of CPS")
  • Uncertainty in open dynamic environments
  • Context-awareness and runtime adaptation
  • Cyber Physical Systems in 'Industry 4.0'
  • DevOps for trustworthy Cyber Physical Systems

Latest news from this area

Andreas Metzger Gives Keynote at SEA4DQ Workshop

Self-learning software is able to improve its behavior at runtime by using modern AI algorithms. In his talk, Prof. Metzger will illustrate the relevance of the quality of the data based on which the software learns.

From Documents to Models

The benefits of model-based systems engineering (MBSE) are recognized, but the transition to new way of thinking and working is difficult for many organizations. In collaboration with automotive supplier Schaeffler the software technology institute paluno at the University of Duisburg-Essen has investigated how it can succeed.

Developing for CPS Networks: Modeling Dynamic Constraints

Robots are to be strong together in the factory of the future. They should coordinate and distribute their tasks in such a way as to achieve their objectives in the best possible way. In order to improve the development of collaborative robots, the paluno working group Software Systems Engineering (AG Pohl) has developed and evaluated a new approach to the modeling of dynamic constraints together with industry partners.

Further News and Press Releases