activity
20132026
most citedGrand-canonical-like molecular-dynamics simulations by using an adaptive-resolution technique

84 citations · 277 across the 25 of their papers we have counts for

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8 papers · 1 filter

math.OC2021

Reachability Analysis of Randomly Perturbed Hamiltonian Systems

Carsten Hartmann, Lara Neureither, Markus Strehlau

In this paper, we revisit energy-based concepts of controllability and reformulate them for control-affine nonlinear systems perturbed by white noise. Specifically, we discuss the…

math.OC2021★ 4 cited

Stochastic gradient descent and fast relaxation to thermodynamic equilibrium: a stochastic control approach

Tobias Breiten, Carsten Hartmann, Lara Neureither +1

We study the convergence to equilibrium of an underdamped Langevin equation that is controlled by a linear feedback force. Specifically, we are interested in sampling the possibly…

math.OC2021

Model reduction and uncertainty quantification of multiscale diffusions with parameter uncertainties using nonlinear expectations

Hafida Bouanani, Carsten Hartmann, Omar Kebiri

In this paper we study model reduction of linear and bilinear quadratic stochastic control problems with parameter uncertainties. Specifically, we consider slow-fast systems with u…

math.OC2019

Error bounds for model reduction of feedback-controlled linear stochastic dynamics on Hilbert spaces

Simon Becker, Carsten Hartmann, Martin Redmann +1

We analyze structure-preserving model order reduction methods for Ornstein-Uhlenbeck processes and linear S(P)DEs with multiplicative noise based on balanced truncation. For the fi…

math.OC2018★ 3 cited

Infinite-dimensional bilinear and stochastic balanced truncation with error bounds

Simon Becker, Carsten Hartmann

Along the ideas of Curtain and Glover, we extend the balanced truncation method for infinite-dimensional linear systems to bilinear and stochastic systems. Specifically , we apply…

math.OC2015

Optimal control of Markov jump processes : Asymptotic analysis, algorithms and applications to the modelling of chemical reaction systems

Wei Zhang, Carsten Hartmann, Max von Kleist

Markov jump processes are widely used to model natural and engineered processes. In the context of biological or chemical applications one typically refers to the chemical master e…