Cristi Iacob
Department / Institute
RESEARCH PROFILE
Lucian Cristian Iacob is a Doctoral Candidate at the Control Systems (CS) Group in the Department of Electrical Engineering. His current research is on modeling and analysis of nonlinear systems using the Koopman and Linear Parameter-Varying (LPV) frameworks, under the supervision of Associate Professor Roland Tóth and Assistant Professor Maarten Schoukens, in the Automated Linear Parameter-Varying Modeling and Control Synthesis for Nonlinear Complex Systems (ARPOCS) project. His main research interests include modeling and identification of nonlinear systems and machine learning techniques.
My destination is no longer a place, rather a new way of seeing." Marcel Proust
ACADEMIC BACKGROUND
Lucian Cristian Iacob obtained his BSc degree in Automation and Applied Informatics at the Technical University of Cluj-Napoca, in 2017. During his BSc degree he spent three months at the Institute for Artificial Intelligence (IAI), at the University of Bremen. He obtained his MSc degree in Systems and Control at Eindhoven University of Technology (TU/e) in 2019, with the distinction ‘great appreciation’. He caried out his internship project at the Dutch Institute for Fundamental Energy Research (DIFFER), under the supervision of dr. ir. Matthijs van Berkel. For his MSc thesis, he worked on the topic of composition of thermodynamic systems, under the supervision of Full Professor Siep Weiland.
Recent Publications
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Lucian Cristian Iacob,Roland Tóth,Maarten Schoukens
Koopman form of nonlinear systems with inputs
Automatica (2024) -
L.C. Iacob,Maarten Schoukens,Roland Tóth
Finite Dimensional Koopman Form of Polynomial Nonlinear Systems
IFAC-PapersOnLine (2023) -
L.C. Iacob,Maarten Schoukens,Roland Tóth
Embedding of Polynomial Nonlinear Systems into Finite Dimensional Koopman Representations
(2023) -
Lucian Cristian Iacob,Gerben Izaak Beintema,Maarten Schoukens,Roland Tóth
Deep Identification of Nonlinear Systems in Koopman Form
(2022) -
L.C. Iacob,G.I. Beintema,Maarten Schoukens,Roland Tóth
Deep Learning-based Identification of Koopman Models with Inputs
(2022)
Ancillary Activities
No ancillary activities