Machine Learning of Dynamics with Applications to Flow Control and Aerodynamic Optimization

Author:

Brunton Steven L.

Publisher

Springer International Publishing

Reference70 articles.

1. Abbeel, P., Coates, A., Quigley, M., Ng, A.Y.: An application of reinforcement learning to aerobatic helicopter flight. In: Advances in Neural Information Processing Systems, pp. 1–8 (2007)

2. Amsallem, D., Zahr, M.J., Farhat, C.: Nonlinear model order reduction based on local reduced-order bases. Int. J. Numer. Methods Eng. 92(10), 891–916 (2012)

3. Andrew Bagnell, J., Schneider, J.G.: Autonomous helicopter control using reinforcement learning policy search methods. IEEE International Conference on Robotics and Automation 2, 1615–1620 (2001)

4. Billings, S.A.: Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains. Wiley, New York (2013)

5. Bongard, J., Lipson, H.: Automated reverse engineering of nonlinear dynamical systems. Proc. Nat. Acad. Sci. 104(24), 9943–9948 (2007)

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