Secure, Autonomous and AI-Based Systems
Secure, Autonomous and AI-Based Systems
The digital transformation and expansion of cyber-physical systems increasingly require more collaborative solutions and human-machine interaction. Cognitive computing also increases the autonomy of systems (e.g. autonomous vehicles and flying objects). At the same time, it also poses challenges in communication and interface design between components and systems, data acquisition and analysis using artificial intelligence (e.g. Big Data, machine learning), and IT security.
Research in this area is conducted primarily at the Affective and Cognitive Institute (ACI), Institute for Machine Learning and Analytics (IMLA), Institute for Unmanned Aerial Systems (IUAS), and the Institute of Reliable Embedded Systems and Communication Electronics (ivESK).
| Title | Distributed EV communication, charge scheduling and consensus based control for EV charging network |
| Short Name | DAAD Patna Indien DST 2019 |
| Short Description | The integration of electric vehicles (EVs) as a smart mode of transportation is continuing to grow, as it can be significantly cleaner than combustion engines, if renewable energy sources are used. Different countries have already developed roadmaps to replace the traditional transportation network (i.e. one that run on petroleum byproducts) with the EV energy network. The EV charging infrastructure commonly comprises EVs, charging stations, distributed energy sources and communication infrastructure. It shall be extended by an IT infrastructure, i.e. an integrated communication system for optimum trade-off between cost, energy consumption, and real-time capability. For this, the application of optimized Low-Power Wide-Area (LPWA) networks shall be envisaged, which shall encompass the whole protocol stack, i.e. from advanced physical layers to highly integrated application layer to allow complete, efficient and flexible system integration. |
| Year Of Acquisition | 2019 |
| Start Date | 2019-06-01 |
| End Date | 2021-12-31 |
| Project Managers | Sikora, Axel, Prof. Dr. |
| Faculties | EMI |
| Institution | ivESK |