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Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory
2020 IEEE International Conference on Big Data (Big Data), 2020Koopman operator theory, applied via numerical techniques such as dynamic mode decomposition (DMD) and autoencoders, has recently emerged as an interesting mathematical framework for understanding how complex, high-dimensional dynamical systems evolve.
Sian Wen +6 more
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Prediction of the behavior of a pneumatic soft robot based on Koopman operator theory
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 2020Thanks to their flexibility, soft robotic devices offer critical advantages over rigid robots, allowing adaptation to uncertainties in the environment. As such, soft robots enable various intriguing applications, including human-safe interaction devices, soft active rehabilitation devices, and soft grippers for pick-and-place tasks in industrial ...
Ervin Kamenar +5 more
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Koopman Operator Theory for Nonautonomous and Stochastic Systems
2020In practice, the dynamics of open systems subject to time-dependent or random forcing is much more present than the dynamics of autonomous systems. Therefore, extension of the Koopman operator theory and applications to such systems is of great importance.
Maćešić, Senka, Črnjarić, Nelida
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Koopman operator learning using invertible neural networks
Journal of Computational PhysicsIn Koopman operator theory, a finite-dimensional nonlinear system is transformed into an infinite but linear system using a set of observable functions.
Jianguo Huang, Yue Qiu
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Application of Koopman operator theory to the control of nonlinear bubble dynamics
The Journal of the Acoustical Society of America, 2022Microbubbles are widely used in biomedicine for ultrasound contrast imaging and are a promising vehicle for targeted drug and gene delivery. The ability to control the oscillations of bubbles through the applied ultrasound can improve the effectiveness of these treatments, for example, by enhancing the acoustic echo or inciting bubble rupture at ...
Andrew J. Gibson +2 more
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Deep Koopman Operator-based degradation modelling
Reliability Engineering and System SafetyDeveloping reliable health indicators for industrial assets is essential for accurate condition monitoring, fault detection, and predicting the remaining useful lifetime.
Olga Fink, Sergei Garmaev
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Koopman operator theory for enhanced Pacific SST forecasting
El Niño-Southern Oscillation (ENSO) is a complex climatic phenomenon with significant impacts on global weather patterns and ecosystems. Improving ENSO predictability is therefore an issue of high societal value. However, Global Circulation Models present severe biases when predicting ENSO, and their skill remains comparable to that of vastly ...Paula Lorenzo Sánchez +4 more
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Time-Varying Koopman Operator Theory for Nonlinear Systems Prediction
2021 60th IEEE Conference on Decision and Control (CDC), 2021Damien Guého +2 more
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Koopman operator dynamical models: Learning, analysis and control
Annual Reviews in Control, 2021Stefan Sosnowski, Sandra Hirche
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Vehicular Applications of Koopman Operator Theory—A Survey
IEEE Access, 2023Waqas A Manzoor +2 more
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