Giorgos Mamakoukas

Ian Abraham

IEEE Trans. Robotics, June, 2023

2022

Robust Model Predictive Control with Data-Driven Koopman Operators.

[BibT_eX]

[DOI]

Stefano Di Cairano

Abraham P. Vinod

Proceedings of the American Control Conference, 2022

2021

Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2021

Automatic Tuning for Data-driven Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Memory-Efficient Stable Linear Dynamical Systems for Prediction and Control.

[BibT_eX]

[DOI]

Orest Xherija

CoRR, 2020

Learning Data-Driven Stable Koopman Operators.

[BibT_eX]

[DOI]

Ian Abraham

CoRR, 2020

Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control.

[BibT_eX]

[DOI]

Orest Xherija

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Control-oriented Modeling of Soft Robotic Swimmer with Koopman Operators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019

Local Koopman Operators for Data-Driven Control of Robotic Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Feedback synthesis for underactuated systems using sequential second-order needle variations.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Superlinear Convergence Using Controls Based on Second-Order Needle Variations.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

2016

Sequential Action Control for models of underactuated underwater vehicles in a planar ideal fluid.

[BibT_eX]

[DOI]