Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots

Author:

Alora John Irvin1,Cenedese Mattia2,Schmerling Edward1,Haller George2,Pavone Marco1

Affiliation:

1. Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305

2. Institute for Mechanical Systems, ETH Zurich,Zürich,Switzerland,8092

Funder

KACST

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonautonomous spectral submanifolds for model reduction of nonlinear mechanical systems under parametric resonance;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-07-01

2. Data-driven modelling of the regular and chaotic dynamics of an inverted flag from experiments;Journal of Fluid Mechanics;2024-05-21

3. Condensed Semi-Implicit Dynamics for Trajectory Optimization in Soft Robotics;2024 IEEE 7th International Conference on Soft Robotics (RoboSoft);2024-04-14

4. Nonlinear model reduction to temporally aperiodic spectral submanifolds;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-04-01

5. DisMech: A Discrete Differential Geometry-Based Physical Simulator for Soft Robots and Structures;IEEE Robotics and Automation Letters;2024-04

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