Track: AI NEXT & AI Transformation
Track Organizers:
Péter Baranyi

Scope:
The special track is dedicated to emerging paradigms in AI science, with a particular emphasis on areas such as AI optimization, and the enhancement of precision, explainability, and provability in AI systems. It seeks to advance fundamental mathematical frameworks that offer provable performance guarantees for AI-driven control solutions—surpassing conventional, experience-based and heuristic learning methods. In the regards of Explainable AI, the track specifically welcomes contributions aimed at developing linguistic interpreters of AI “thinking,” to make the reasoning and decision-making processes of AI systems more transparent and intelligible.

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