activity
20102026
most citedData-driven approximation of the Koopman generator: Model reduction, system identification, and control

274 citations · 1.8k across the 48 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

math.DS2017★ 113 cited

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Stefan Klus, Ingmar Schuster, Krikamol Muandet

Transfer operators such as the Perron--Frobenius or Koopman operator play an important role in the global analysis of complex dynamical systems. The eigenfunctions of these operato…

math.DS2017

Diffusion maps tailored to arbitrary non-degenerate Ito processes

Ralf Banisch, Zofia Trstanova, Andreas Bittracher +2

We present two generalizations of the popular diffusion maps algorithm. The first generalization replaces the drift term in diffusion maps, which is the gradient of the sampling de…

math.DS2017★ 205 cited

Koopman operator-based model reduction for switched-system control of PDEs

Sebastian Peitz, Stefan Klus

We present a new framework for optimal and feedback control of PDEs using Koopman operator-based reduced order models (K-ROMs). The Koopman operator is a linear but infinite-dimens…

math.DS2017★ 58 cited

Transition manifolds of complex metastable systems: Theory and data-driven computation of effective dynamics

Andreas Bittracher, Péter Koltai, Stefan Klus +3

We consider complex dynamical systems showing metastable behavior but no local separation of fast and slow time scales. The article raises the question of whether such systems exhi…

math.DS2017★ 267 cited

Data-driven model reduction and transfer operator approximation

Stefan Klus, Feliks Nüske, Péter Koltai +4

In this review paper, we will present different data-driven dimension reduction techniques for dynamical systems that are based on transfer operator theory as well as methods to ap…

cs.DM2017★ 5 cited

Continuous Relaxations for the Traveling Salesman Problem

Tuhin Sahai, Adrian Ziessler, Stefan Klus +1

In this work, we aim to explore connections between dynamical systems techniques and combinatorial optimization problems. In particular, we construct heuristic approaches for the t…