Cyber-physical Systems, IoT and Autonomous Systems

Contributing key researchers: 
Kim G. Larsen (AAU)
Jan Madsen (DTU)
Phillip Bonnet (ITU)
Mikkel Baun Kjærgaard (SDU)
Norbert Krüger (SDU)

Jan Madsen
Professor


Technical University of Denmark
Department of Applied Mathematics and Computer Science
Richard Petersens Plads, Bldg. 322
2800 Kgs. Lyngby


E: jama@dtu.dk
T: +45 45 25 37 51
WS6

Relevance

The size of the Danish Embedded & Cyber-Physical Systems industry is difficult to measure as CPS constitute an inherent part of a wide variety of high-tech products and services. In 2017 Danish companies in the ICT industry10 (IT, Electronics, and Telecommunications) produced a turnover of 33 B€, an export of 11.5 B€ and an all-time record of close to 100,000 employed in Denmark. Many of the classical industrial companies are increasingly creating added value by making their products smart and interconnected using CPS/IoT technologies or even fully digital.

Objectives and synergies

The objectives are to

  1. increase the capacity and methods and system
    support for CPS and IoT as well as the engineering skills, and
  2. show impact on real world applications working together with start-ups, industry and public institutions.

The design and development of Cyber-Physical Systems and Internet of Things complement and integrate methodologies from the other thematic areas. In particular, the design of highly robust and secure systems depends on methods from Software Engineering and Verification and Cyber Security and Blockchain. Artificial Intelligence is an important method for processing sensor data and planning actuation actions.

The design of successful human components also links to the area of Human Computer Interaction, CSCW and InfoVis. A strong emerging trend for CPS is the close interaction with biological systems, not only for healthcare, but also as a novel digital technology, programming life through engineered logic gene circuits. Finally, systems have to be designed considering Ethics and considerations for Business Innovation, Processes and Models.