Efficient model order reduction for multi-agent systems using QR decomposition-based clustering. - Petar Mlinaric; Sara Grundel; Peter Benner (CDC, 2015)

Model Reduction of Linear Multi-Agent Systems by Clustering and Associated H2- and H∞-Error Bounds. - Hidde-Jan Jongsma; Petar Mlinaric; Sara Grundel; Peter Benner; Harry L. Trentelman (CoRR, 2016)

Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures. - Petar Mlinaric; Takayuki Ishizaki; Aranya Chakrabortty; Sara Grundel; Peter Benner; Jun-ichi Imura (ECC, 2018)

Model reduction of linear multi-agent systems by clustering with ℋ2⃗ and ℋ∞⃗ error bounds. - Hidde-Jan Jongsma; Petar Mlinaric; Sara Grundel; Peter Benner; Harry L. Trentelman (Math. Control. Signals Syst., 2018)

Parametric model order reduction using pyMOR. - Petar Mlinaric; Stephan Rave; Jens Saak (CoRR, 2020)

Clustering-Based Model Order Reduction for Nonlinear Network Systems. - Peter Benner; Sara Grundel; Petar Mlinaric (CoRR, 2020)

Structure-preserving model order reduction for network systems. - Petar Mlinaric (2020)

Optimization-based parametric model order reduction via H2⊗L2 first-order necessary conditions. - Manuela Hund; Tim Mitchell; Petar Mlinaric; Jens Saak (CoRR, 2021)

L2-optimal Reduced-order Modeling Using Parameter-separable Forms. - Petar Mlinaric; Serkan Gugercin (CoRR, 2022)

A Unifying Framework for Interpolatory $ mathcal{L}_2$-optimal Reduced-order Modeling. - Petar Mlinaric; Serkan Gugercin (CoRR, 2022)

Optimization-based Parametric Model Order Reduction via ${{ mathcal{H}_2} otimes { mathcal{L}_2}}$ First-order Necessary Conditions. - Manuela Hund; Tim Mitchell; Petar Mlinaric; Jens Saak (SIAM J. Sci. Comput., 2022)

Interpolatory H2-optimality Conditions for Structured Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (CoRR, 2023)

( boldsymbol{ mathcal{L}_2} )-Optimal Reduced-Order Modeling Using Parameter-Separable Forms. - Petar Mlinaric; Serkan Gugercin (SIAM J. Sci. Comput., 2023)

A Unifying Framework for Interpolatory ({ boldsymbol{ mathcal{L}_2}} )-Optimal Reduced-Order Modeling. - Petar Mlinaric; Serkan Gugercin (SIAM J. Numer. Anal., 2023)

Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (CoRR, 2024)

Interpolatory ( boldsymbol {{ mathcal {H}}_{2}} )-optimality Conditions for Structured Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (SIAM J. Numer. Anal., 2025)

IRKA Is a Riemannian Gradient Descent Method. - Petar Mlinaric; Christopher A. Beattie; Zlatko Drmac; Serkan Gugercin (IEEE Trans. Autom. Control., 2025)