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ORCIDPetar Mlinaric
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- affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
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2020 – today
- 2024
[i10]Petar Mlinaric
, Peter Benner, Serkan Gugercin:
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. CoRR abs/2401.10047 (2024)- 2023
- [j4]Petar Mlinaric, Serkan Gugercin:
A Unifying Framework for Interpolatory \({\boldsymbol{\mathcal{L}_2}}\)-Optimal Reduced-Order Modeling. SIAM J. Numer. Anal. 61(5): 2133-2156 (2023) - [j3]Petar Mlinaric, Serkan Gugercin:
\(\boldsymbol{\mathcal{L}_2}\)-Optimal Reduced-Order Modeling Using Parameter-Separable Forms. SIAM J. Sci. Comput. 45(2): 554- (2023) - [i9]Petar Mlinaric, Peter Benner, Serkan Gugercin:
Interpolatory H2-optimality Conditions for Structured Linear Time-invariant Systems. CoRR abs/2310.10618 (2023) - [i8]Petar Mlinaric, Christopher Beattie, Zlatko Drmac, Serkan Gugercin:
IRKA is a Riemannian Gradient Descent Method. CoRR abs/2311.02031 (2023) - 2022
- [j2]Manuela Hund, Tim Mitchell, Petar Mlinaric, Jens Saak:
Optimization-based Parametric Model Order Reduction via ${{\mathcal{H}_2} \otimes {\mathcal{L}_2}}$ First-order Necessary Conditions. SIAM J. Sci. Comput. 44(3): 1554- (2022) - [i7]Petar Mlinaric, Serkan Gugercin:
L2-optimal Reduced-order Modeling Using Parameter-separable Forms. CoRR abs/2206.02929 (2022) - [i6]Petar Mlinaric, Serkan Gugercin:
A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling. CoRR abs/2209.00714 (2022) - 2021
- [i5]Manuela Hund, Tim Mitchell, Petar Mlinaric, Jens Saak:
Optimization-based parametric model order reduction via H2⊗L2 first-order necessary conditions. CoRR abs/2103.03136 (2021) - 2020
- [b1]Petar Mlinaric:
Structure-preserving model order reduction for network systems. Otto-von-Guericke University Magdeburg, Germany, 2020 - [i4]Petar Mlinaric, Stephan Rave, Jens Saak:
Parametric model order reduction using pyMOR. CoRR abs/2003.05825 (2020) - [i3]Peter Benner, Sara Grundel, Petar Mlinaric:
Clustering-Based Model Order Reduction for Nonlinear Network Systems. CoRR abs/2003.06952 (2020)
2010 – 2019
- 2018
- [j1]Hidde-Jan Jongsma, Petar Mlinaric, Sara Grundel, Peter Benner, Harry L. Trentelman:
Model reduction of linear multi-agent systems by clustering with ℋ2⃗ and ℋ∞⃗ error bounds. Math. Control. Signals Syst. 30(1): 6:1-6:38 (2018) - [c2]Petar Mlinaric, Takayuki Ishizaki, Aranya Chakrabortty, Sara Grundel, Peter Benner, Jun-ichi Imura:
Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures. ECC 2018: 2266-2271 - [i2]Petar Mlinaric, Takayuki Ishizaki, Aranya Chakrabortty, Sara Grundel, Peter Benner, Jun-ichi Imura:
Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures. CoRR abs/1803.00439 (2018) - 2016
- [i1]Hidde-Jan Jongsma, Petar Mlinaric, Sara Grundel, Peter Benner, Harry L. Trentelman:
Model Reduction of Linear Multi-Agent Systems by Clustering and Associated H2- and H∞-Error Bounds. CoRR abs/1610.02432 (2016) - 2015
- [c1]Petar Mlinaric, Sara Grundel, Peter Benner:
Efficient model order reduction for multi-agent systems using QR decomposition-based clustering. CDC 2015: 4794-4799
Coauthor Index
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