Data-driven surrogates of value functions and applications to feedback control for dynamical systems. IFAC-PapersOnLine, (51)2:307--312, 2018. [PUMA: Kernel anm approximation, control, dynamic feedback from:britsteiner greedy ians optimal principle, programming techniques] URL
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (34)8:e3095, 2018. [PUMA: anm blood dimensionally flow from:britsteiner ians kernel methods, mixedâdimension models, peripheral realâtime reduced simulations simulations, stenosis, surrogate] URL
Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems & Control Letters, (61)1:203--211, Elsevier BV, 2012. [PUMA: subspace error dynamical kernel a-posteriori from:britsteiner methods, ians nonlinear systems, offline/online decomposition, projection estimates, model anm reduction,] URL
Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems and Control Letters, (61)1:203 - 211, 2012. [PUMA: a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online projection reduction, subspace systems, vorlaeufig] URL
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (0)ja:e3095, 2018. [PUMA: blood dimensionally flow from:mhartmann ians kernel methods, mixed-dimension models, peripheral real-time reduced simulations simulations, stenosis, surrogate vorlaeufig] URL
A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, vorlaeufig] URL