Dr. Petar Mlinarić

• 01/2020 - 07/2021: Postdoctoral researcher
• Working within the pyMOR DFG project
• 09/2014 - 12/2019: PhD student, Otto von Guericke University of Magdeburg, Germany
• PhD student of the "International Max Planck Research School (IMPRS) for Advanced Methods in Process and Systems Engineering (Magdeburg)"
• 09/2012 - 07/2014: Master studies in applied mathematics, University of Zagreb, Croatia
• Master's thesis: Approximation of linear dynamical systems in H₂ space
• Supervisor: Prof. Dr. Zlatko Drmač
• 09/2009 - 06/2012: Bachelor studies in mathematics, University of Zagreb, Croatia

Publications

• System‐theoretic model order reduction with pyMOR,
  Linus Balicki, Petar Mlinarić, Stephan Rave, Jens Saak,
  Proceedings in Applied Mathematics and Mechanics, vol. 19, pp. e201900459, November 2019.
• An H₂⊗L₂-Optimal Model Order Reduction Approach for Parametric Linear Time‐Invariant Systems,
  Manuela Hund, Petar Mlinarić, Jens Saak,
  Proceedings in Applied Mathematics and Mechanics, vol. 18, pp. e201800084, December 2018.
• Model Reduction of Linear Multi-Agent Systems by Clustering with H₂ and H_∞ Error Bounds,
  Hidde-Jan Jongsma, Petar Mlinarić, Sara Grundel, Peter Benner, Harry L. Trentelman,
  Mathematics of Control, Signals, and Systems, vol. 30, no. 1, pp. 1-38, April 2018. (arXiv preprint)
  
• Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures,
  Petar Mlinarić, Takayuki Ishizaki, Aranya Chakrabortty, Sara Grundel, Peter Benner, Jun-ichi Imura,
  Proceedings of the 2018 European Control Conference (ECC), November 2018. (arXiv preprint)
  
• Stability Preserving Model Reduction for Linearly Coupled Linear Time-Invariant Systems,
  Peter Benner, Sara Grundel, Petar Mlinarić,
  Proceedings in Applied Mathematics and Mechanics, vol. 16, pp. 817-818, October 2016.
• Clustering-Based Model Order Reduction for Multi-Agent Systems with General Linear Time-Invariant Agents,
  Petar Mlinarić, Sara Grundel, Peter Benner,
  Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS), pp. 230-235, July 2016.
• Efficient Model Order Reduction for Multi-Agent Systems Using QR Decomposition-Based Clustering,
  Petar Mlinarić, Sara Grundel, Peter Benner,
  Proceedings of the 54th IEEE Conference on Decision and Control (CDC), pp. 4794-4799, December 2015.

Software

• pyMOR - Model Order Reduction with Python