no code implementations • 26 Dec 2019 • Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanović
Model-free reinforcement learning attempts to find an optimal control action for an unknown dynamical system by directly searching over the parameter space of controllers.
no code implementations • 26 Aug 2019 • Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanović
Drawing on this abundance of data, dynamical models can be constructed to reproduce structural and statistical features of turbulent flows, opening the way to the design of effective model-based flow control strategies.
no code implementations • 4 Jul 2018 • Armin Zare, Hesameddin Mohammadi, Neil K. Dhingra, Tryphon T. Georgiou, Mihailo R. Jovanović
Several problems in modeling and control of stochastically-driven dynamical systems can be cast as regularized semi-definite programs.
