Junjie Jiao

Project title: Distributed data-driven control of networked multi-agent systems with guarantees (DATA-MAS)

Host Institution: Technical University of Munich (TUM)

Host Supervisor: Prof. Sandra Hirche

Co-host Institution: École Polytechnique Fédérale de Lausanne (EPFL)

Co-host Supervisor: Prof. Colin N. Jones

Summary project: In the near future, teams of underwater robots will collaboratively collect waste from seafloor (currently performed by human divers) and restore healthy oceans. Similar multi-agent concepts can be extended to unmanned aerial vehicles or smart home devices, which lead to applications in environmental monitoring or internet of things. Multi-agent systems can achieve complex tasks that are difficult or impossible for single agents to solve. However, current control methods are very conservative as they require either known accurate agent models or enormous amounts of high-quality data. This is highly impractical, as (i) agents are becoming increasingly complex, which makes accurate models extremely difficult to obtain; and (ii) enormous amounts of data lead to expensive computation, which significantly slows down agent operation. To fully exploit the potential of multi-agent systems, control methods with efficient data use have to be developed. The objective of this project is therefore to develop optimal online distributed data-driven control algorithms for networked multi-agent systems with theoretical guarantees that use agent data much more efficiently than the existing solutions.

Junjie Jiao
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EuroTechPostdoc2 Programme

Within the EuroTechPostdoc2 programme, the universities of the EuroTech Universities Alliance offer seventy Marie Skłodowska-Curie fellowships to experienced high-potential researchers, in two calls for 35 fellows each. Besides giving the fellows the freedom to establish their own research lines, the programme provides exceptional training opportunities to prepare the fellows for a future as part of the new generation of scientific leaders, within and outside of academia.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 899987.

Supported by Eindhoven University of Technology. Designed by Penrose CDB – www.penrose-cdb.com