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(2015). Active flow and combustion control 2014 [14]. Springer.


A

Altmann, R. and Schulze, P. (2017). A port-Hamiltonian formulation of the Navier-Stokes equations for reactive flows [15]. Systems & Control Letters


Arnold, F. and King, R. (2021). : State-space modeling for control based on physics-informed neural network [16]. Engineering Applications of Artificial Intelligence., 104105.


Arnold, F., Topalovic, D. and King, R. (). Efficient Implementation of a Binary Iterative Learning Control [17]. IFAC World Congress 2020


B

Beattie, C., Mehrmann, V. and Xu, H. (2015). Port-Hamiltonian realizations of linear time invariant systems [18]. Technische Universität Berlin.


Bengoechea, S., Stein, L., Reiss, J. and Sesterhenn, J. (2015). Numerical Investigation of Reactive and Non-reactive Richtmyer-Meshkov Instabilities [19]. Active flow and combustion control 2014. Springer, 343–361.


Berndt, P., Klein, R. and Paschereit, C. O. (2016). A Kinetics Model for the Shockless Explosion Combustion [20]. ASME Turbo Expo: Turbine Technical Conference and Exposition


Berndt, P. and Klein, R. (2017). Modeling the kinetics of the Shockless Explosion Combustion [21]. Combustion and Flame, 16–26.


Berndt, P. (2014). On the Use of the HLL-Scheme for the Simulation of the Multi-Species Euler Equations [22]. Springer Proceedings in Mathematics & Statistics, Finite Volumes for Complex Applications VII: Elliptic, Parabolic and Hyperbolic Problems, 809–816.


Binder, A., Mehrmann, V., Miedlar, A. and Schulze, P. (2015). A Matlab toolbox for the regularization of descriptor systems arising from generalized realization procedures [23]. Technische Universität Berlin.


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