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

Fietzke, B., Mihalyovics, J., King, R. and Peitsch, D. (2021). Binary repetitive model predictive active flow cntrol applied t a n annular compressor stator cascade with periodic disturbances. ASME Turbo Expo 2021, GT2021-58744.


Rezay Haghdoost, M., Thety, B., Nadolski, M., Klein, R., Honnery, D., Edgington-Mitchell, D., Seo, B., Paschereit, C. O. and Oberleithner, K. (2020). Evaluation of Shock Dividers using Numerical and Experimental Methods. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics

Rezay Haghdoost, M., Edgington-Mitchell, D., Nadolski, M., Klein, R. and Oberleithner, K. (2020). Dynamic evolution of a transient supersonic trailing jet induced by a strong incident shock wave. Physical Review Fluids. American Physical Socienty

Thety, B., Rezay Haghdoost, M., Paschereit, C. O., Honnery, D., Edgington-Mitchell, D. and Oberleithner, K. (2020). Redistribution of Transient Shock Waves Using Shock Dividers. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics


Edgington-Mitchell, D. (2019). Aeroacoustic resonance and self-excitation in screeching and impinging supersonic jets–a review. International Journal of Aeroacoustics, 118–188.


Motta, V., Malzacher, L. and Peitsch, D. (2018). Numerical Assessment of Virtual Control Surfaces for Load Alleviation on Compressor Blades. Applied Sciences, 125.

Schulze, P., Unger, B., Beattie, C. and Gugercin, S. (2018). Data-driven Structured Realization. Linear Algebra and its Applications

Lemke, M., Cai, L., Reiss, J., Pitsch, H. and Sesterhenn, J. (2018). Adjoint-based sensitivity analysis of quantities of interest of complex combustion models. Combustion Theory and Modelling, 1–17.


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

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