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Bernd R. Noack
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2020 – today
- 2024
- [j5]Yiming Ou
, Hao Xiong
Dynamic Obstacle Avoidance of Fixed-Wing Aircraft in Final Phase via Reinforcement Learning. IEEE Trans. Aerosp. Electron. Syst. 60(4): 3923-3935 (2024) - [j4]Junchang Huang
Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors. IEEE Trans. Artif. Intell. 5(3): 1147-1161 (2024) - [c10]Guy Y. Cornejo Maceda
Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control. GECCO Companion 2024: 495-498 - 2023
- [j3]Tamir Shaqarin
A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME). Int. J. Comput. Intell. Syst. 16(1): 6 (2023) - [i4]Qiulei Wang, Lei Yan, Gang Hu, Wenli Chen, Bernd R. Noack:
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing. CoRR abs/2307.01995 (2023) - 2022
- [i3]Tamir Shaqarin, Bernd R. Noack:
A fast converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME). CoRR abs/2207.00900 (2022) - 2020
- [i2]Nan Deng, Luc Pastur, Bernd R. Noack:
Low-Dimensional Flow Models from High-Dimensional Flow Data with Machine Learning and First Principles. ERCIM News 2020(122) (2020) - [i1]Guy Y. Cornejo Maceda, François Lusseyran, Bernd R. Noack:
Taming Non-Linear Dynamics and Turbulence with Machine Learning Control. ERCIM News 2020(122) (2020)
2010 – 2019
- 2017
- [c9]Simon Ferrari, Yaoping Hu, Robert J. Martinuzzi
Visualizing vortex clusters in the wake of a high-speed train. SMC 2017: 683-688 - 2014
- [j2]Bartosz Protas, Bernd R. Noack
An Optimal Model Identification for Oscillatory Dynamics with a Stable Limit Cycle. J. Nonlinear Sci. 24(2): 245-275 (2014) - 2013
- [j1]Bernd R. Noack
A hierarchy of maximum entropy closures for Galerkin systems of incompressible flows. Comput. Math. Appl. 65(10): 1558-1574 (2013) - 2012
- [c8]Jens Kasten, Ingrid Hotz, Bernd R. Noack, Hans-Christian Hege
Vortex Merge Graphs in Two-dimensional Unsteady Flow Fields. EuroVis (Short Papers) 2012 - 2011
- [p1]Jens Kasten, Ingrid Hotz, Bernd R. Noack, Hans-Christian Hege
On the Extraction of Long-living Features in Unsteady Fluid Flows. Topological Methods in Data Analysis and Visualization 2011: 115-126
2000 – 2009
- 2009
- [c7]Jens Kasten, Christoph Petz, Ingrid Hotz, Bernd R. Noack, Hans-Christian Hege:
Localized Finite-time Lyapunov Exponent for Unsteady Flow Analysis. VMV 2009: 265-276 - 2005
- [c6]Oliver Lehmann, Mark Luchtenburg, Bernd R. Noack
Wake stabilization using POD Galerkin models with interpolated modes. CDC/ECC 2005: 500-505 - [c5]Mark Pastoor, Rudibert King
Observers and Feedback Control for Shear Layer Vortices. CDC/ECC 2005: 506-511 - 2004
- [c4]Gilead Tadmor, Bernd R. Noack:
Dynamic estimation for reduced Galerkin models of fluid flows. ACC 2004: 746-751 - [c3]Bernd R. Noack, Gilead Tadmor, Marek Morzynski:
Actuation models and dissipative control in empirical Galerkin models of fluid flows. ACC 2004: 5722-5727 - 2003
- [c2]Gilead Tadmor, Bernd R. Noack, Andreas Dillmann, Johannes Gerhard, Mark Pastoor, Rudibert King, Marek Morzynski:
Control, observation and energy regulation of wake flow instabilities. CDC 2003: 2334-2339 - 2000
- [c1]Bernd R. Noack, Igor Mezic, Andrzej Banaszuk:
Controlling vortex motion and chaotic advection. CDC 2000: 1716-1723
Coauthor Index
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