Gábor Szederkényi

Introduction

Gabor Szederkenyi is a research advisor at SZTAKI. He obtained his PhD degree from the Information Science PhD School of the University of Veszprém in the field of the analysis and control of nonlinear process systems. His research area is the analysis, identification and control of nonlinear dynamical systems, where he has published more than 80 refereed journal papers, 110 conference papers and two research monographs (mostly with co-authors).

Positions

• research advisor, Systems and Control Laboratory, SZTAKI
• full professor, Faculty of Information Technology and Bionics, Pazmany Peter Catholic University (PPKE)

Degrees

• Doctor of the Hungarian Academy of Sciences (Engineering), 2013
• Habilitation (Information science), Pázmány Péter Catholic University, 2017
• PhD (Information Sciences), University of Veszprem, 2002
• M.Eng. (Information Technology), University of Veszprem, 1998

Research Areas

• analysis and control of nonlinear dynamical systems
• parameter estimation
• analysis and control of nonnegative and compartmental models
• analysis and control of biologically motivated systems

Memberships, Assignments

• IEEE Hungary Section, secretary (2010-2016)
• head of the Roska Tamás Doctoral School of Sciences and Technology, Pázmány Péter Catholic University (2019-)
• non-academician elected member of the general assembly of the Hungarian Academy of Sciences (2021-)
• MATCH Commun. Math. Comput. Chem., editorial board member

Educational Activity

• Faculty of Information Technology and Bionics, Pazmany Peter Catholic University
  • Computer Controlled Systems (BSc/MSc course, 2 hours/week, lecture)
  • Parameter Estimation (MSc course, 2 hours/week, lecture)
  • Robotics (BSc/MSc course, 2 hours/week, lecture)
  • Quantitative Modelling and Control of Nonlinear Molecular Processes (MSc, 2 hours/week, lecture)

Selected projects

- OTKA NF 104706 (2012-2016) "Analysis and Control of Nonlinear Polynomial Systems Using Optimization Methods": The overall aim of the project is to develop model analysis, identification and controller design methods for nonlinear dynamical systems using the special advantageous algebraic structures of two related system classes with good descriptive power: quasi-polynomial (QP) systems and deterministic kinetic systems. Optimization methods will be used as tools of key importance for the solution of the emerging algebraically complex problems.

- OTKA K 131545 (2019-2024) "Analysis and optimization of complex technological systems with energetic applications": Complex nonlinear electrical energy systems form an important application area of nonlinear systems that often exhibit an underlying network structure. Similar networked nonlinear system models can be found in other important applications, such as biochemical, transportation, gas and water supply systems. Our earlier results about nonnegative polynomial dynamical systems are, therefore, a starting point for this project. The equilibrium structure and the dynamic behavior of the above networked nonlinear system models are largely determined by its network structure together with the dynamics of the nodes in the network. The rich literature on networked systems will be utilized here together with our previous results on investigating the dynamics and distributed control of delayed kinetic systems. The third pillar of our planned work is the area of optimal operation design of electrical energy systems in all level, from the equipment level with battery operation through the level of electrical grids to the level of the electrical energy market, that apply advanced modeling and optimization techniques tailored to the targeted electrical energy system.

Publication databases

Hungarian official MTMT database

Google Scholar