Anne-Kathrin Schmuck is an independent research group leader at the Max
Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern,
Germany. Her group is externally funded by the Emmy Noether Programme of
the German Science Foundation (DFG). She received the Dipl.-Ing. (M.Sc)
degree in engineering cybernetics from OvGU Magdeburg, Germany, in 2009
and the Dr.-Ing. (Ph.D.) degree in electrical engineering from TU
Berlin, Germany, in 2015. Between 2015 and 2020 she was a postdoctoral
researcher at MPI-SWS mentored by Rupak Majumdar. She currently serves
as the co-chair of the IEEE CSS Technical Committee on Discrete Event
Systems and as associate editor for the Springer Journal on Discrete
Event Dynamical Systems, the IEEE Open Journal of Control Systems and
the IFAC Journal on Nonlinear Analysis: Hybrid Systems. Her current
research interests include cyber-physical system design, logical control
software synthesis, reliability of automation systems and dynamical
systems theory.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI
Feedback allows systems to seamlessly and instantaneously adapt their
behavior to their environment and is thereby the fundamental principle
of life and technology -- it lets animals breathe, it stabilizes the
climate, it allows airplanes to fly, and the energy grid to operate.
During the last century, control technology excelled at using this power
of feedback to engineer extremely stable, robust, and reliable
technological systems.
With the ubiquity of computing devices in modern technological systems,
feedback loops become cyber-physical -- the laws of physics governing
technological, social or biological processes interact with (cyber)
computing systems in a highly nontrivial manner, pushing towards higher
and higher levels of autonomy and self-regulation. While reliability of
these systems remains of utmost importance, a fundamental understanding
of cyber-physical feedback loops for large-scale CPS is lacking far
behind.
In this talk I will discuss how a control-inspired view on formal
methods for reliable software design enables us to utilize the power of
feedback for robust and reliable self-adaptation in cyber-physical
system design.