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2010.05778
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Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems
12 October 2020
Giorgos Mamakoukas
Maria L. Castaño
Xiaobo Tan
Todd Murphey
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Papers citing
"Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems"
12 / 12 papers shown
Title
Learning-based Estimation of Forward Kinematics for an Orthotic Parallel Robotic Mechanism
Jingzong Zhou
Yuhan Zhu
Xiaobin Zhang
Sunil Agrawal
Konstantinos Karydis
105
2
0
14 Mar 2025
Koopman Operators in Robot Learning
Lu Shi
Masih Haseli
Giorgos Mamakoukas
Daniel Bruder
Ian Abraham
Todd Murphey
Jorge Cortes
Konstantinos Karydis
AI4CE
120
8
0
08 Aug 2024
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from
μ
μ
μ
PMU Measurement Data
Divyanshi Dwivedi
P. Yemula
M. Pal
109
0
0
31 Mar 2023
Vehicular Applications of Koopman Operator Theory -- A Survey
W. Manzoor
S. Rawashdeh
Aliasgar Mohammadi
53
18
0
18 Mar 2023
On Koopman-based surrogate models for non-holonomic robots
Lea Bold
Hannes Eschmann
Mario Rosenfelder
Henrik Ebel
K. Worthmann
99
3
0
16 Mar 2023
Koopman Operators for Modeling and Control of Soft Robotics
Lu Shi
Zhichao Liu
Konstantinos Karydis
112
20
0
23 Jan 2023
Deep Koopman Operator with Control for Nonlinear Systems
Hao-bin Shi
Max Meng
73
79
0
16 Feb 2022
Neural Koopman Lyapunov Control
Vrushabh Zinage
E. Bakolas
65
28
0
13 Jan 2022
ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-based Nonlinear Robotic Systems
Lu Shi
Konstantinos Karydis
127
27
0
24 Nov 2021
Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations
Masih Haseli
Jorge Cortes
62
15
0
08 Aug 2021
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification
Diya Sashidhar
J. Nathan Kutz
57
55
0
22 Jul 2021
Learning Stable Models for Prediction and Control
Giorgos Mamakoukas
Ian Abraham
Todd Murphey
97
39
0
08 May 2020
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