Gábor Szederkényi - Google Scholar

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Citations	2190	1009
h-index	22	17
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Katalin HangosComputer and Automation Research Institute (SZTAKI) and University of PannoniaVerified email at sztaki.hu
Jozsef BokorProfessor of Control Theory, Hungarian Academy of Sciences, Budapest University of TechnologyVerified email at sztaki.mta.hu
Tamás PéniMTA SZTAKIVerified email at sztaki.mta.hu
David CsercsikPázmány Péter Catholic University, Faculty of Information Technology and BionicsVerified email at itk.ppke.hu
Attila MagyarUniversity of PannoniaVerified email at almos.vein.hu
György LiptákComputer and Automation Research Institute (SZTAKI)Verified email at scl.sztaki.hu
Zoltan A TuzaResearch Associate at Imperial College London, Department of BioengineeringVerified email at imperial.ac.uk
Attila GaborComputational Biomedicine, Heidelberg UniversityVerified email at uni-heidelberg.de
Irene Otero-MurasIIM-CSIC Spanish Council for Scientific ResearchVerified email at iim.csic.es
Julio R. BangaResearch Professor, IIM-CSIC, Vigo (Spain)Verified email at iim.csic.es
Matthew Douglas JohnstonAssistant Professor, Lawrence Technological UniversityVerified email at ltu.edu
Janos RudanPazmany Peter Catholic UniversityVerified email at itk.ppke.hu
Peter GasparComputer and Automation Research InstituteVerified email at sztaki.mta.hu
Zsolt TuzaMTA Rényi Institute, Budapest & University of Pannonia, VeszprémVerified email at dcs.uni-pannon.hu
István VargaBME, MTA SZTAKIVerified email at mail.bme.hu
Sten Bay JørgensenProfessor emeritus in Chemical and Biochemical Engineering, DTUVerified email at kt.dtu.dk
György CsereyAssociate Professor, Pázmány Péter Catholic UniversityVerified email at itk.ppke.hu
Zsolt LipositsInstitute of Experimental MedicineVerified email at koki.hu
Erik HrabovszkyKísérleti Orvostudományi Kutatóintézet (MTA)Verified email at koki.hu

Gábor Szederkényi

Pazmany Peter Catholic University

Verified email at itk.ppke.hu - Homepage

analysis and control of nonlinear dynamical systems biological networks


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Analysis and control of nonlinear process systems KM Hangos, J Bokor, G Szederkényi Springer Science & Business Media, 2006	270	2006
Inference of complex biological networks: distinguishability issues and optimization-based solutions G Szederkényi, JR Banga, AA Alonso BMC systems biology 5 (1), 177, 2011	93	2011
Computing sparse and dense realizations of reaction kinetic systems G Szederkényi Journal of Mathematical Chemistry 47 (2), 551-568, 2010	88	2010
Hamiltonian view on process systems KM Hangos, J Bokor, G Szederkényi AIChE journal 47 (8), 1819-1831, 2001	79	2001
Finding complex balanced and detailed balanced realizations of chemical reaction networks G Szederkényi, KM Hangos Journal of Mathematical Chemistry 49 (6), 1163-1179, 2011	77	2011
A simple dynamic model of the primary circuit in VVER plants for controller design purposes C Fazekas, G Szederkényi, KM Hangos Nuclear Engineering and Design 237 (10), 1071-1087, 2007	77	2007
Nonlinear analysis and control of a continuous fermentation process G Szederkényi, NR Kristensen, KM Hangos, SB Jørgensen Computers & Chemical Engineering 26 (4-5), 659-670, 2002	74	2002
Grey box fault detection of heat exchangers E Weyer, G Szederkényi, K Hangos Control engineering practice 8 (2), 121-131, 2000	74	2000
Nonlinear model-building of a low-power gas turbine P Ailer, I Sįnta, G Szederkényi, KM Hangos Periodica Polytechnica Transportation Engineering 29 (1-2), 117-135, 2001	67	2001
Local dissipative Hamiltonian description of reversible reaction networks I Otero-Muras, G Szederkényi, AA Alonso, KM Hangos Systems & Control Letters 57 (7), 554-560, 2008	62	2008
Maximal and minimal realizations of reaction kinetic systems: computation and properties G Szederkényi, KM Hangos, T Péni arXiv preprint arXiv:1005.2913, 2010	48	2010
Computing weakly reversible linearly conjugate chemical reaction networks with minimal deficiency MD Johnston, D Siegel, G Szederkényi Mathematical biosciences 241 (1), 88-98, 2013	42	2013
A linear programming approach to weak reversibility and linear conjugacy of chemical reaction networks MD Johnston, D Siegel, G Szederkényi Journal of Mathematical Chemistry 50 (1), 274-288, 2012	38	2012
Finding weakly reversible realizations of chemical reaction networks using optimization G Szederkényi, KM Hangos, Z Tuza arXiv preprint arXiv:1103.4741, 2011	35	2011
Identifiability analysis and parameter estimation of a single Hodgkin–Huxley type voltage dependent ion channel under voltage step measurement conditions D Csercsik, KM Hangos, G Szederkényi Neurocomputing 77 (1), 178-188, 2012	32	2012
Globally stabilizing feedback control of process systems in generalized Lotka–Volterra form A Magyar, G Szederkényi, KM Hangos Journal of Process control 18 (1), 80-91, 2008	31	2008
Dynamical equivalence and linear conjugacy of chemical reaction networks: new results and methods MD Johnston, D Siegel, G Szederkényi arXiv preprint arXiv:1111.1441, 2011	29	2011
Determining the domain of attraction of hybrid non-linear systems using maximal Lyapunov functions S Rozgonyi, K Hangos, G Szederkényi Kybernetika 46 (1), 19-37, 2010	29	2010
Modeling and identification of a nuclear reactor with temperature effects and xenon poisoning A Gábor, C Fazekas, G Szederkényi, KM Hangos European journal of control 17 (1), 104-115, 2011	24	2011
Modeling and model identification of a pressurizer at the Paks Nuclear Power Plant I Varga, G Szederkényi, KM Hangos, J Bokor IFAC Proceedings Volumes 39 (1), 678-683, 2006	24	2006

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