Abstract
Multiagent Systems (MAS) are used in a wide variety of applications and play an increasingly important role in energy systems, cyber-physical systems in industrial plants but similar dynamics can also be observed in social networks and even biological systems. While the distributed nature of such systems includes many advantages such as decentralised control without the need of extensive communication infrastructure as needed for centralised options, it also poses some challenges. For instance, the stability and performance of the overall system depends not only on the dynamic of the individual agents but also their interconnection and the network size and structure.
Many suitable solutions have been developed to ensure important properties of the MAS such as stability, convergence to a desired equilibrium, synchronisation and disturbance rejection. While these solutions are applicable regardless of network size or structure, some yet require a redesign or some adjustments in case the network changes.
Hence, in this talk we focus on discussing scalable approaches to design and redesign local controller in MAS systems in a fully distributed manner and achievable performance measures.
Biographical Information
Steffi Knorn studied Systems engineering and technical cybernetic (control engineering) at Otto-von-Guericke University in Magdeburg and received her PhD from the National University of Ireland Maynooth in Ireland. After two years as postdoctoral researcher at The University of Newcastle in Australia, she moved to Uppsala University in Sweden, first as a postdoctoral researcher and later as assistant and associated professor for control. After a short period as junior professor with the Department of Autonomous Systems in Automation at the Otto-von-Guericke University in Magdeburg, she is now a full professor for control at Fachgebiet Regelungstechnik at Technische Universität Berlin. Her research interests include: sclability of dynamical systems, multi-agent systems, control theory and its applications, stability and analysis of two-dimensional systems and port-Hamiltonian systems.