Results 51 to 60 of about 758 (209)

Koopman-Based Control System for Quadrotors in Noisy Environments

IEEE Access
It is well known that identification of the complete system dynamics is challenging, especially in noisy environments. The Koopman operator theory provides a linear representation of a nonlinear system using only the input/output data acquired from the ...
Yuna Oh, Myoung Hoon Lee, Jun Moon
doaj   +1 more source

Koopman Operator, Geometry, and Learning

, 2020
We provide a framework for learning of dynamical systems rooted in the concept of representations and Koopman operators. The interplay between the two leads to the full description of systems that can be represented linearly in a finite dimension, based on the properties of the Koopman operator spectrum.
openaire   +2 more sources

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Efficient Nonlinear Model Predictive Control of Automated Vehicles

Mathematics, 2022
In this paper, an efficient model predictive control (MPC) of velocity tracking of automated vehicles is proposed, in which a reference signal is given a priori.
Shuyou Yu, Encong Sheng, Yajing Zhang, Yongfu Li, Hong Chen, Yi Hao   +5 more
doaj   +1 more source

Maximizing Neurovascular Outcomes of Facial Transplantation: A Comprehensive Review

Clinical Anatomy, EarlyView.
ABSTRACT Facial transplantation is a division of reconstructive surgery which aims to improve the function and appearance of a face that has endured severe disfigurement. Currently, the face transplant procedure uses allogenic tissue, harvested from a brain‐dead donor, to replace damaged facial components.
Olivia A. James, Faye Bennett
wiley   +1 more source

Estimating Transient Stability Regions of Large-Scale Power Systems Part I: Koopman Operator and Reduced-Order Model

CSEE Journal of Power and Energy Systems
This paper presents an estimation of transient stability regions for large-scale power systems. In Part I, a Koopman operator based model reduction (KOMR) method is proposed to derive a low-order dynamical model with reasonable accuracy for transient ...
Yuqing Lin, Tianhao Wen, Lei Chen, Q. H. Wu, Yang Liu   +4 more
doaj   +1 more source

On the anti-missile interception technique of unpowered phase based on data-driven theory

Mechanics & Industry, 2022
. The anti-missile interception technique of unpowered phase is of much importance in the military field, which depends on the prediction of the missile trajectory and the establishment of the missile model.
Huang Yong, Li Yang
doaj   +1 more source

Spectral entropy variability of intraoperative electrocorticography predicts outcome after epilepsy surgery in people with focal cortical dysplasia

Epilepsia, EarlyView.
Abstract Objective Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG) feature, could estimate epileptic activity in intraoperative electrocorticography (ioECoG) and
Eline V. Schaft, Sem Hoogteijling, Dongqing Sun, Cyrille H. Ferrier, Pieter van Eijsden, Wim M. Otte, Galia Anguelova, Nick F. Ramsey, Maryse A. van't Klooster, Maeike Zijlmans, on behalf of the RESPect database study group, Charlotte van Asch, Lydia van de Berg, Dorien van Blooijs, Kim Boshuisen, Mireille Bourez, Kees Braun, Jan Willem Dankbaar, Matteo Demuru, Pieter van Eijsden, Cyrille Ferrier, Tineke Gebbink, Fernando Gomez‐Acebo Ruiz, Peter Gosselaar, Kimberley Grasmeijer, Renate van Griethuysen, Jiaojiao Guo, Irene Heijink, Monique Hobbelink, Friso Hoefnagels, Sem Hoogteijling, Geertjan Huiskamp, Sarah Jacobs, Floor Jansen, Susanne Jelsma, Nicole van Klink, Merel Koopmans, Frans Leijten, Wouter Maathuis, Mariska Mantione, Angelika Muhlebner, Brechje Olgers, Janine van Ophorst, Miranda Postma, Sandra van der Salm, Eline Schaft, Anniek van Schaik, Monique van Schooneveld, Dongqing Sun, Ziyi Wang, Martine van Zandvoort, Eva Zuidhoek, Willemiek Zweiphenning, Jack Zwemmer   +53 more
wiley   +1 more source

Data-driven koopman operator-based detection and location for multi-source forced oscillations

International Journal of Electrical Power & Energy Systems
The identification and localization of oscillation sources (OSs) is crucial for the effective suppression of forced oscillations in power systems. Herein, we introduce a novel data-driven methodology, leveraging the Koopman operator, for the detection ...
Deyou Yang, Runlin Pu, Han Gao, Mingfeng Wang   +3 more
doaj   +1 more source

On Gaussian Process Based Koopman Operators

IFAC-PapersOnLine, 2020
Abstract Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given the learnt model.
Yingzhao Lian, Colin N. Jones
openaire   +1 more source