Results 71 to 80 of about 758 (209)
Koopman Explicit Model Following Control Framework for a Robotic Manipulator
Robotic manipulators have nonlinear and coupled dynamics, and this situation makes accurate modeling and control difficult under parameter uncertainties and external effects.
Oguz Kaan Hancioglu, Mehmet Onder Efe
doaj +1 more source
This paper proposes a data‐driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator ...
Mohammadhosein Bakhtiaridoust +3 more
doaj +1 more source
ABSTRACT This article examines the psychometric properties of a Computerized Adaptive Test for Measuring Teamwork Competencies (CAT‐TWC). Using item response theory and a multicultural team framework, we examine the dimensionality, precision, and measurement invariance of the measures obtained with the CAT‐TWC in a first study with participants from ...
David Aguado +4 more
wiley +1 more source
Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model
UCP1 inactivation of cetaceans in mice drives BAT whitening and iWAT hyperplasia, promoting fat accumulation for aquatic adaptation. Abstract Cetaceans possess thick blubber, a specialized adipose tissue essential for thermal insulation, a streamlined body form, energy storage, and buoyancy. However, the mechanisms that underpin this adaptation are not
Qian Zhang +5 more
wiley +1 more source
Uncertainty Quantification of Autoencoder-Based Koopman Operator
6 pages, 3 ...
Kim, Jin Sung +2 more
openaire +2 more sources
ABSTRACT Scholars working on conflict and violence often engage with local organisations, yet the methodological and ethical implications of volunteering‐while‐researching are rarely discussed in writing. This article contributes to debates on decolonizing research by conceptualising volunteering‐while‐researching as a practice that—while imbued with ...
Shona Loong
wiley +1 more source
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid +3 more
wiley +1 more source
Some chemical reactors exhibit coupled dynamics with multiple equilibrium points and strong nonlinearities. The accurate modeling of these dynamics is crucial to optimal control and increasing the reactor’s economic performance. While neural networks can
Mustapha Kamel Khaldi +5 more
doaj +1 more source
Koopman Operators in Robot Learning
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as an alternative modeling and learning-based control method across various robotics sub-domains. Due to its ability to represent nonlinear dynamics as a linear (but higher-dimensional) operator, Koopman theory offers a fresh lens through which to understand and ...
Shi, Lu +7 more
openaire +2 more sources
Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source

