4 citations · 11 across the 6 of their papers we have counts for
6 papers
Data-Driven Model Order Reduction with pyMOR
Hendrik Kleikamp, Petar Mlinarić, Stephan Rave +1
pyMOR is a free and open-source software library of model order reduction algorithms for the Python programming language. Designed with classical model-based reduction methods for…
Optimization-based parametric model order reduction via first-order necessary conditions
Manuela Hund, Tim Mitchell, Petar Mlinarić +1
In this paper, we generalize existing frameworks for -optimal model order reduction to a broad class of parametric linear time-invariant systems.…
Clustering-Based Model Order Reduction for Nonlinear Network Systems
Peter Benner, Sara Grundel, Petar Mlinarić
Clustering by projection has been proposed as a way to preserve network structure in linear multi-agent systems. Here, we extend this approach to a class of nonlinear network syste…
Parametric model order reduction using pyMOR
Petar Mlinarić, Stephan Rave, Jens Saak
pyMOR is a free software library for model order reduction that includes both reduced basis and system-theoretic methods. All methods are implemented in terms of abstract vector an…
Synchronization and Aggregation of Nonlinear Power Systems with Consideration of Bus Network Structures
Petar Mlinarić, Takayuki Ishizaki, Aranya Chakrabortty +3
We study nonlinear power systems consisting of generators, generator buses, and non-generator buses. First, looking at a generator and its bus' variables jointly, we introduce a sy…
Model Reduction of Linear Multi-Agent Systems by Clustering and Associated - and -Error Bounds
Hidde-Jan Jongsma, Petar Mlinarić, Sara Grundel +2
In this paper, we study a model reduction technique for leader-follower networked multi-agent systems defined on weighted, undirected graphs with arbitrary linear multivariable age…