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Published in 2024 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.5327
Abstract: A local and hierarchical Koopman spectral analysis is proposed to extend Koopman spectral analysis typically used in a linear system or an ergodic process to its application in general nonlinear dynamics. The continuous and analytic…
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Keywords:
koopman spectral;
spectral analysis;
hierarchical koopman;
koopman ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0219635
Abstract: The linear-time-invariance notion to the Koopman analysis is a recent advance in fluid mechanics [Li et al., “The linear-time-invariance notion to the Koopman analysis: The architecture, pedagogical rendering, and fluid–structure association,” Phys. Fluids 34(12), 125136…
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Keywords:
fluid structure;
methodology;
koopman;
data driven ... See more keywords
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Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.062214
Abstract: In this paper, we investigate the influence of the retarded access by a time-varying delay on the dynamics of delay systems. We show that there are two universality classes of delays, which lead to fundamental…
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Keywords:
time varying;
varying delay;
delay;
koopman ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3146417
Abstract: This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique. The key idea is to obtain a Koopman-based reduced-order model of a…
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Keywords:
fault detection;
koopman;
operator;
detection isolation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3160710
Abstract: Continuous monitoring of the spatio-temporal dynamic behavior of critical infrastructure networks, such as the power systems, is a challenging but important task. In particular, accurate and timely prediction of the (electro-mechanical) transient dynamic trajectories of…
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Keywords:
koopman;
network;
power grid;
power ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194851
Abstract: We present a data-driven method for computing reachable sets for unknown nonlinear dynamical systems using a Koopman operator based approach. We find mixed-monotone decompositions for a class of Koopman lifted dynamics. The mixed-monotone system can…
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Keywords:
koopman;
approximate reachability;
unknown nonlinear;
reachability koopman ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3184036
Abstract: Recently Koopman operator has become a promising data-driven tool to facilitate real-time control for unknown nonlinear systems. It maps nonlinear systems into equivalent linear systems in embedding space, ready for real-time linear control methods. However,…
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Keywords:
koopman;
koopman operator;
control;
nonlinear systems ... See more keywords
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Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3273515
Abstract: This letter presents a data-driven method for constructing a Koopman linear model based on the Direct Encoding (DE) formula. The prevailing methods, Dynamic Mode Decomposition (DMD) and its extensions are based on least squares estimates…
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Keywords:
computation;
koopman;
koopman operator;
driven encoding ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3483048
Abstract: This letter focuses on the flexible tube of a bronchoscope robot used in pulmonary intervention surgery, which is considered as a continuum robot. The dynamics model is proposed based on the Koopman operator, leveraging real…
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Keywords:
surgery;
robot;
koopman;
proposed algorithm ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3194958
Abstract: This article presents a data-driven control strategy for nonlinear dynamical systems, enabling the construction of a Koopman-based linear system associated with nonlinear dynamics. The primary idea is to apply the deep learning technique to the…
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Keywords:
koopman;
koopman based;
control;
based mpc ... See more keywords
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Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3605015
Abstract: This article proposes a novel model-based planning framework for freeway ramp metering (RM), denoted as Koopman-driven linearized model-based offline planning (KLMOP). This framework integrates the model predictive control (MPC) and offline reinforcement learning (RL) under…
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Keywords:
freeway ramp;
model based;
control;
koopman ... See more keywords