Results 61 to 70 of about 906 (226)
A Koopman Operator Tutorial with Othogonal Polynomials [PDF]
, 2022 The Koopman Operator (KO) offers a promising alternative methodology to solve ordinary differential equations analytically. The solution of the dynamical system is analyzed in terms of observables, which are expressed as a linear combination of the ...
Linares, Richard +2 more
core +1 more source
Decarbonization in Financial Turbulent Times: Global Value Chains and Regulatory Framework
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how participation in global value chains (GVCs) influences carbon emissions amid financial turbulence, with attention to cross‐country heterogeneity and distributional dynamics. Although existing research has explored trade–environment linkages, limited attention has been given to how GVC integration interacts with ...
Xiaoyong Xu +4 more
wiley +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
Koopman operator and its approximations for systems with symmetries [PDF]
, 2019 Nonlinear dynamical systems with symmetries exhibit a rich variety of behaviors, often described by complex attractor-basin portraits and enhanced and suppressed bifurcations.
Jeffrey Emenheiser +9 more
core +1 more source
Using Signatures and Koopman Operator to Learn Nonlinear Dynamics [PDF]
International audienceWe propose a novel framework for predicting the evolution of dynamical systems by learning the Koopman operator in the space of linear functionals on the Signature transform of trajectory data.
Chrétien, Stéphane +3 more
core +6 more sources
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
IEEE AccessDynamic state estimation (DSE) is a fundamental task in many fields, including control systems, robotics, and signal processing. Traditional DSE methods, which rely on mathematical models to describe system dynamics, are often limited in their ...
Deyou Yang +4 more
doaj +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Epilepsia Open, EarlyView.Abstract Objective About one third of epilepsy patients are drug‐resistant. Resective epilepsy surgery remains a key treatment option but depends critically on accurate identification of the seizure onset zone (SOZ), which is still guided mainly by subjective visual inspection of electrophysiological signals.
Tena Dubcek +5 more
wiley +1 more source
Koopman Constrained Policy Optimization: A Koopman operator theoretic method for differentiable optimal control in robotics [PDF]
, 2023 Deep reinforcement learning has recently achieved state-of-the-art results for robotic control. Robots are now beginning to operate in unknown and highly nonlinear environments, expanding their usefulness for everyday tasks.
Retchin, Matthew
core +2 more sources
LPV Modeling Using the Koopman Operator [PDF]
, 2020 Linear parameter-varying (LPV) models have been introduced to describe nonlinear (NL) and time-varying (TV) systems and make use of powerful results of linear control theory.
Schoukens, Maarten; id_orcid +2 more
core +6 more sources