Currently, Lizan is working as a Doctoral Candidate in the Control Systems Group at Eindhoven University of Technology (TU/e). She is working on the project System Identification in Dynamic Networks (SYSDYNET), under supervision of Full Professor Paul Van den Hof. The topic of her part of the research concerns modelling and identification of physical networks. One part of her research is on different modelling frameworks for and representations of dynamic networks. The second part of her research is on modelling and identification of diffusively coupled networks.
To quote Albert Einstein: 'In the middle of difficulty lies opportunity.'
Lizan Kivits received her bachelor’s degree in Electrical Engineering and her master’s degree in Systems and Control (with great appreciation) from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2014 and 2017, respectively. Her master thesis was entitled “Control Relevant Model Reduction for Disturbance Decoupling” and was supervised by Full Professor Siep Weiland. In June 2017 she started as a researcher in the Control Systems research group at the Department of Electrical Engineering, Eindhoven University of Technology. As of July 2018, she continued as a Ph.D. researcher in this research group. Her research interests include first-principles modelling, data-driven modelling, and dynamic network identification.
A dynamic network approach to identification of physical systems58th IEEE Conference on Decision and Control (CDC 2019) (2019)
A dynamic network approach to identification of physical systems58th IEEE Conference on Decision and Control, CDC 2019 (2019)
Constrained order observer design for disturbance decoupled output estimationIEEE Control Systems Letters (2019)
On representations of linear dynamic networksIFAC-PapersOnLine (2018)
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