The research of the newly established group is concerned with control of complex dynamical systems and is organized in two main pillars: hybrid systems and dynamical systems.
The first central research goal is development of theoretical bases for a holistic approach to control systems in the cyber-physical domain, this invoking conceptual and technical interplay between control, communication, and information theories. In our group, we develop instances of this unifying theory by utilizing hybrid dynamical theory in its algebraic (scheduling) and symbolical (coding) formulations.
The second main pillar refers to dynamical systems, involving optimal control of partial differential equations and stochastic control with applications in chemical engineering and systems biology.
Applications include automotive systems, cyber-physical engineering problems s.a. distributed/cooperative control, event-based control, asynchronous scheduling a. control (collaborative robotics and vehicles and Industry 4.0), as well as regulatory networks and particulate systems.