Results 171 to 180 of about 549 (197)
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2025 American Control Conference (ACC)
This paper presents an approach to Model Predictive Control (MPC) for nonlinear systems by combining Koopman operator theory with autoencoder networks enhanced by temporal layers for time-delay embedding. Traditional Koopman-based methods miss temporal dependencies, so we incorporate Temporal Convolutional Networks (TCN), Long Short-Term Memory (LSTM),
Shenoy, Sucheth +2 more
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This paper presents an approach to Model Predictive Control (MPC) for nonlinear systems by combining Koopman operator theory with autoencoder networks enhanced by temporal layers for time-delay embedding. Traditional Koopman-based methods miss temporal dependencies, so we incorporate Temporal Convolutional Networks (TCN), Long Short-Term Memory (LSTM),
Shenoy, Sucheth +2 more
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Applications of linear systems theory to Koopman operator approximation
This thesis considers the use of linear systems theory in the context of Koopman operator approximation. The Koopman operator allows nonlinear systems to be represented as infinite-dimensional linear systems by viewing their evolution in terms of an infinite set of lifting functions.openaire +1 more source
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, 2023Alireza Mohammadi +2 more
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Dual systems identification methods based on Koopman operator theory
2018We report our recent developments on Koopman operator lifting techniques for system identification and parameter estimation. We present two methods, which are based on the key idea of identifying the Koopman operator in a lifted space of observables, but rely on two different finite-dimensional approximations of the Koopman operator.
Mauroy, Alexandre, Goncalves, Jorge
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Koopman Operators for Modeling and Control of Soft Robotics
Current Robotics Reports, 2023Zhichao Liu +2 more
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Koopman Operator Theory Applied to Lambert’s Problem with a Spectral Behavior Analysis
2023Astrodynamics is abundant with nonlinear dynamical systems, such as satellites operating within Earth’s gravitational field. With the increase in the number of satellite constellations, making accurate predictions of the motion of satellites throughout space is becoming more relevant than ever.
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Application of Koopman Operator Theory to Legged Locomotion
Nonlinearities from complicated robot systems and harsh contact dynamics have long impeded the effectiveness of optimal control strategies for legged robots. In this work, we present a linearized simple walking model using Koopman Operator Theory, and its usage in Linear Model Predictive Control (L-MPC).openaire +1 more source
Robust Tube-Based Model Predictive Control With Koopman Operators
Automatica, 2022Xinglong Zhang +2 more
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Blood Glucose Level Prediction Using Koopman Operator Theory
Accurate blood glucose prediction is crucial for effective diabetes management, especially for individuals with Type 1 diabetes who must make frequent decisions regarding insulin dosage, physical activity, and dietary intake. In this study, we introduce a personalized predictive algorithm based on Koopman Operator Theory, using data from continuous ...Kamenar, Ervin +3 more
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