Track: AI NEXT & AI Transformation
Track Organizers:
Péter Baranyi
Scope:
Coming soon
Track: Data-Driven Polytopic Modeling and Control Theories
Track Organizers:
Imre Kocsis, Attila Gilányi
Scope:
The purpose of the special track is three-fold, and accordingly, it basically announces three sections. One on theoretical background and one each on engineering and psychological applications as follows.
Session: Engineering Applications
Track Organizers:
Husam A. Neamah, Sándor Hajdu
Scope:
This Session is application-oriented and aims to introduce tensor product-based polytopic modelling and control in engineering areas that have not been attempted before.
Topics include tensor product-based:
control of LPV systems
disturbance observers
condition monitoring of engineering systems
electrical energy production
energy distribution (power electronics network pollution)
environmental effects (noise and other environmental pollution) modeling
Session: Theoretical Concepts
Track Organizers:
Imre Kocsis, Attila Gilányi
Scope:
Papers dealing with the theoretical background of tensor product based polytopic modeling are invited.
Topics include
Characterization of problems that can be successfully modeled using the tensor product method. Discussion of applicability.
Characterization of the potential results provided by the application of the tensor product method, comparison with other modeling techniques.
Problem-specific issues in the application of the tensor product method in various fields.
Enforcement of model-related expectations, manipulation of vertices („convex hull”), special transformations.
Application of tensor product-based models.
Session: Cognitive Modeling
Track Organizers:
Csilla Csukonyi, Anna Sudár
Scope:
The Session goes beyond the scope of engineering modelling and expectations, papers that translate verbal psychological and emotional models established on a statistical basis into tensor product-based polytopic form.
Topics include tensor product-based modeling of:
sports persistence
human robot interaction
virtual reality aspects