System science is an interdisciplinary field that studies complex, dynamic and adaptive systems, their behavior, and the principles governing their structure, functioning, and evolution. It provides a holistic framework for understanding how different components within a system interact to produce the system's overall behavior. System science has a large overlap with the traditional field of Cybernetics.
Selected Projects
Design, Modeling and Control of Industrial Robots
The ongoing research focuses on the design, modeling and control of industrial robots. The design is aimed at developing new kinematic mechanisms and systems.
This research aims to develop a rational theory of dynamic decision-making under uncertainty, providing a solid foundation for enhancing decision-making processes in both human and technological agents.
Non-linear systems provide an accurate description of real processes in cases where nonlinearity is significant. Synchronization of non-linear multi-agent systems, additionally addressing challenges like signal delays or cyberattacks is studied.
Walking Robot – Theoretical Description and Its Practical Realization
The "Acrobot" model is used to model the motion of the biped robot. It is suitable for a rich range of achievable motions, but also allows the application of an extensive mathematical apparatus for the design of control systems for robotic walking.
IMTA-RAS Systems - Modeling, Control, and Design of Experiments
Aquaculture is currently the fastest-growing animal food production sector, benefiting from the intensification of fish, shellfish, and algae cultivation.
