Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems

14 September 2021

Papers citing "Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems"

7 / 7 papers shown

Title
Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics Zi Cong Guo James R. Forbes Timothy D. Barfoot 47 0 0 15 Sep 2024
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd Murphey Jorge Cortes Konstantinos Karydis AI4CE 65 7 0 08 Aug 2024
Advantages of Bilinear Koopman Realizations for the Modeling and Control of Systems with Unknown Dynamics Daniel Bruder Xun Fu Ram Vasudevan 34 81 0 20 Oct 2020
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation Jeremy N. Wong David J. Yoon Angela P. Schoellig Timothy D. Barfoot 39 20 0 21 Mar 2020
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd Murphey 33 163 0 12 Jun 2019
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 43 135 0 28 May 2018
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 66 732 0 31 May 2016