Controlling vortex motion and chaotic advection. - Bernd R. Noack; Igor Mezic; Andrzej Banaszuk (CDC, 2000)

Control, observation and energy regulation of wake flow instabilities. - Gilead Tadmor; Bernd R. Noack; Andreas Dillmann; Johannes Gerhard; Mark Pastoor; Rudibert King; Marek Morzynski (CDC, 2003)

Actuation models and dissipative control in empirical Galerkin models of fluid flows. - Bernd R. Noack; Gilead Tadmor; Marek Morzynski (ACC, 2004)

Dynamic estimation for reduced Galerkin models of fluid flows. - Gilead Tadmor; Bernd R. Noack (ACC, 2004)

Wake stabilization using POD Galerkin models with interpolated modes. - Oliver Lehmann; Mark Luchtenburg; Bernd R. Noack; Rudibert King; Marek Morzynski; Gilead Tadmor (CDC/ECC, 2005)

Observers and Feedback Control for Shear Layer Vortices. - Mark Pastoor; Rudibert King; Bernd R. Noack; Gilead Tadmor (CDC/ECC, 2005)

Localized Finite-time Lyapunov Exponent for Unsteady Flow Analysis. - Jens Kasten; Christoph Petz; Ingrid Hotz; Bernd R. Noack; Hans-Christian Hege (VMV, 2009)

On the Extraction of Long-living Features in Unsteady Fluid Flows. - Jens Kasten; Ingrid Hotz; Bernd R. Noack; Hans-Christian Hege (Topological Methods in Data Analysis and Visualization, 2011)

Vortex Merge Graphs in Two-dimensional Unsteady Flow Fields. - Jens Kasten; Ingrid Hotz; Bernd R. Noack; Hans-Christian Hege (EuroVis (Short Papers), 2012)

A hierarchy of maximum entropy closures for Galerkin systems of incompressible flows. - Bernd R. Noack; Robert K. Niven (Comput. Math. Appl., 2013)

An Optimal Model Identification for Oscillatory Dynamics with a Stable Limit Cycle. - Bartosz Protas; Bernd R. Noack; Marek Morzynski (J. Nonlinear Sci., 2014)

Visualizing vortex clusters in the wake of a high-speed train. - Simon Ferrari; Yaoping Hu; Robert J. Martinuzzi; Eurika Kaiser; Bernd R. Noack; Jan Östh; Sinisa Krajnovic (SMC, 2017)

Low-Dimensional Flow Models from High-Dimensional Flow Data with Machine Learning and First Principles. - Nan Deng; Luc Pastur; Bernd R. Noack (ERCIM News, 2020)

Taming Non-Linear Dynamics and Turbulence with Machine Learning Control. - Guy Y. Cornejo Maceda; François Lusseyran; Bernd R. Noack (ERCIM News, 2020)

Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing. - Qiulei Wang; Lei Yan; Gang Hu; Wenli Chen; Bernd R. Noack (CoRR, 2023)

A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME). - Tamir Shaqarin; Bernd R. Noack (Int. J. Comput. Intell. Syst., 2023)

Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control. - Guy Y. Cornejo Maceda; Zhutao Jiang; François Lusseyran; Bernd R. Noack (GECCO Companion, 2024)

Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors. - Junchang Huang; Weifeng Zeng; Hao Xiong 004; Bernd R. Noack; Gang Hu; Shugao Liu; Yuchen Xu 005; Huanhui Cao (IEEE Trans. Artif. Intell., 2024)

Dynamic Obstacle Avoidance of Fixed-Wing Aircraft in Final Phase via Reinforcement Learning. - Yiming Ou; Hao Xiong 004; Hantao Jiang; Yixin Zhang; Bernd R. Noack (IEEE Trans. Aerosp. Electron. Syst., 2024)

Orbital cluster-based network modelling. - Antonio Colanera; Nan Deng; Matteo Chiatto; Luigi de Luca; Bernd R. Noack (Comput. Phys. Commun., 2025)

Deep reinforcement cross-domain transfer learning of active flow control for three-dimensional bluff body flow. - Lei Yan; Qiulei Wang; Gang Hu; Wenli Chen; Bernd R. Noack (J. Comput. Phys., 2025)

Onboard Operational Safety Filter for a Quadrotor in an Environment With Dynamic Obstacles. - Weifeng Zeng; Long Li; Hao Xiong 004; Hantao Jiang; Bernd R. Noack; Wenjie Lu; Honghai Liu 001 (IEEE Trans. Ind. Informatics, 2025)