Results 171 to 180 of about 212,072 (202)

Data-Driven Fault Detection and Identification of Nonlinear Systems Using Weighted Window Extended Dynamic Mode Decomposition

International Conference on Control, Automation and Systems, 2023
In this study, we designed a data-driven fault detection and identification method for time-varying nonlinear systems using the Koopman operator. Koopman operator is an infinite-dimensional linear operator that transforms a nonlinear dynamical system. In
Jayden Dongwoo Lee, Lamsu Kim, Hosun Lee, Hyochoong Bang   +3 more
semanticscholar   +1 more source

Learning-based Extended Dynamic Mode Decomposition for Addressing Path-following Problem of Underactuated Ships with Unknown Dynamics

International Journal of Control, Automation and Systems, 2022
Shijie Li, Ziqian Xu, Jialun Liu, Chengqi Xu   +3 more
openaire   +2 more sources

Koopman operators and Extended Dynamic Mode Decomposition for a pair of forward and reverse chemical reactions which occur simultaneously

2022 4th International Conference on Industrial Artificial Intelligence (IAI), 2022
We apply the Koopman operator theory and Extended Dynamic Mode Decomposition in a pair of forward and reverse chemical reactions which occur simultaneously with comparable speeds. The system of ODES which governs the evolution of the concentration of the
J. Leventides, E. Melas, C. Poulios
semanticscholar   +1 more source

Motion Analysis of Upper Limb Function by Extended Dynamic Mode Decomposition

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Toki SUGIURA, Keisuke KITANO, Takuya HASHIMOTO   +2 more
openaire   +2 more sources

\(\boldsymbol{L}^{\boldsymbol{\infty }}\)-error Bounds for Approximations of the Koopman Operator by Kernel Extended Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems
Frederik Köhne, Friedrich Philipp, Manuel Schaller, Anton Schiela, Karl Worthmann   +4 more
openalex   +2 more sources

Density field reconstruction from time-series schlieren images via extended phase-consistent dynamic mode decomposition

Experiments in Fluids, 2023
Tsuyoshi Shigeta, Takayuki Nagata, Taku Nonomura   +2 more
openaire   +2 more sources

Physics-informed Split Extended Dynamic Mode Decomposition and Real-Time Sequential Action Control of Multirotors with Partially Known Dynamics

IEEE International Conference on Systems, Man and Cybernetics
This paper addresses the challenge of real-time control of multirotors subjected to partially known and unmodeled dynamics. A physics-informed Koopman operator framework is proposed, where the known physical dynamics and unknown residual effects are ...
Archit Krishna Kamath, Saeid Nahavandi, S. Anavatti, Mir Feroskhan   +3 more
semanticscholar   +1 more source

A synchrosqueezed wavelet transform enhanced by extended analytical mode decomposition method for dynamic signal reconstruction

Journal of Sound and Vibration, 2013
Abstract A synchrosqueezed wavelet transform combined by wavelet analysis and time–frequency reallocation method was recently developed to improve the quality of time–frequency representation and construct the components of a signal. However, the quality of this transform highly depends on the parameters of wavelet functions.
Zuo-Cai Wang, Wei-Xin Ren, Jing-Liang Liu   +2 more
openaire   +1 more source

Modern developments in germline pharmacogenomics for oncology prescribing

Ca-A Cancer Journal for Clinicians, 2022
Natalie M Reizine, Peter H O'donnell
exaly  

Wavelet-based Dynamic Mode Decomposition in the Context of Extended Dynamic Mode Decomposition and Koopman Theory

Koopman theory is widely used for data-driven modeling of nonlinear dynamical systems. One of the well-known algorithms that stem from this approach is the Extended Dynamic Mode Decomposition (EDMD), a data-driven algorithm for uncontrolled systems. In this thesis, we will start by discussing the EDMD algorithm.
openaire   +1 more source