Advantages of Bilinear Koopman Realizations for the Modeling and Control of Systems with Unknown Dynamics

20 October 2020

Papers citing "Advantages of Bilinear Koopman Realizations for the Modeling and Control of Systems with Unknown Dynamics"

11 / 11 papers shown

Title
A Koopman Operator-based NMPC Framework for Mobile Robot Navigation under Uncertainty Xiaobin Zhang Mohamed Karim Bouafoura Lu Shi Konstantinos Karydis 25 0 0 29 Apr 2025
Data-Driven Batch Localization and SLAM Using Koopman Linearization Zi Cong Guo Frederike Dumbgen James Richard Forbes T. Barfoot 45 3 0 08 Sep 2023
Data-Driven Optimal Control of Tethered Space Robot Deployment with Learning Based Koopman Operator Ao Jin Fan Zhang Panfeng Huang 30 3 0 15 Jul 2023
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator Shaowu Pan E. Kaiser Brian M. de Silva J. Nathan Kutz Steven L. Brunton 19 8 0 22 Jun 2023
Closed-Loop Koopman Operator Approximation Steven Dahdah James Richard Forbes 21 2 0 27 Mar 2023
On Koopman-based surrogate models for non-holonomic robots Lea Bold Hannes Eschmann Mario Rosenfelder Henrik Ebel K. Worthmann 19 2 0 16 Mar 2023
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories Samuel E. Otto Sebastian Peitz C. Rowley 31 19 0 20 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems Yahya Sattar Samet Oymak N. Ozay 18 13 0 29 Aug 2022
Neural Koopman Lyapunov Control Vrushabh Zinage E. Bakolas 22 28 0 13 Jan 2022
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 14 9 0 19 Feb 2021
Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems Giorgos Mamakoukas Maria L. Castaño Xiaobo Tan Todd D. Murphey 11 92 0 12 Oct 2020