284 citations · 748 across the 9 of their papers we have counts for
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eess.SY2017
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control
Markus Giftthaler, Michael Neunert, Markus Stäuble +2
This paper introduces a family of iterative algorithms for unconstrained nonlinear optimal control. We generalize the well-known iLQR algorithm to different multiple-shooting varia…
eess.SY2017★ 8 cited
Optimal and Learning Control for Autonomous Robots
Jonas Buchli, Farbod Farshidian, Alexander Winkler +2
Optimal and Learning Control for Autonomous Robots has been taught in the Robotics, Systems and Controls Masters at ETH Zurich with the aim to teach optimal control and reinforceme…