Gábor Szederkényi

Ph.D.
research advisor
Address
1111 Budapest, Kende u. 13-17.
Room number
K 423
Email
szederkenyi.gabor@sztaki.hu
Phone
+36 1 279 6101
Fax
+36 1 466 7503

Introduction

Gabor Szederkenyi is a senior researcher at MTA 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 35 refereed journal papers, 80 conference papers and one research monograph (mostly with co-authors).

Positions

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

Degrees

  • Doctor of the Hungarian Academy of Sciences (Engineering), 2013
  • 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
  • hamiltonian description of dynamical systems

Memberships, Assignments

  • IEEE Hungary Section, secretary (2010-)
  • internal member of the Multidisciplinary Science and Engineering PhD School of PPKE
  • MATCH Commun. Math. Comput. Chem., editorial board member
  • Journal of Industrial Engineering, 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)
    • System Identification (MSc course, 2 hours/week, lecture)
    • Robotics (BSc/MSc course, 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.

Publication databases

?lang=0&AuthorID=10000614 Repository of Hungarian Scientific Works">https://vm.mtmt.hu//search/slist.php

?lang=0&AuthorID=10000614 Repository of Hungarian Scientific Works