Results 91 to 100 of about 903 (207)

Error Bounds for Finite-Dimensional Stochastic Koopman Approximations

IEEE Open Journal of Control Systems
Koopman operator theory provides a popular framework for lifting a nonlinear dynamical system to a linear system in a higher dimensional space using a dictionary of observable functions.
Seyyed Reza Jafari, Hamidreza Modares, Farnaz Adib Yaghmaie   +2 more
doaj   +1 more source

Nonlinear System Identification of Tremors Dynamics: A Data-driven Approximation Using Koopman Operator Theory. [PDF]

Int IEEE EMBS Conf Neural Eng, 2023
Xue X, Iyer A, Roque D, Sharma N.
europepmc   +1 more source

A balance between stability and flexibility: Adaptive patterns of self‐regulated learning processes shape game‐based learning

British Journal of Educational Technology, EarlyView.
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude, Stefan E. Huber, Jingwei Wei, Bianca Esmanhoto, Muhterem Dindar, Manuel Ninaus, Kristian Kiili   +6 more
wiley   +1 more source

Neural Network Augmented Koopman Explicit Model Following Control for Robotic Manipulators

IEEE Access
This paper introduces a Neural Network Augmented Koopman Explicit Model Following Control (NNKEMFC) framework for robust trajectory tracking of robotic manipulators with nonlinear effects and uncertain dynamics.
Oguz Kaan Hancioglu, Mehmet Onder Efe
doaj   +1 more source

Koopman Operator-Based Knowledge-Guided Reinforcement Learning for Safe Human-Robot Interaction. [PDF]

Front Robot AI, 2022
Sinha A, Wang Y.
europepmc   +1 more source

Closing Trajectories: Equation‐Free Cyclic Animation via Koopman Surrogates

Computer Graphics Forum, EarlyView.
Abstract Cyclic animation is widely used in computer graphics and interactive content. It supports seamless playback in games, VR, and interactive simulation, where short clips must repeat smoothly over long durations. Converting an observed non‐cyclic trajectory into a seamless loop is challenging because the endpoint states of the observed sequence ...
Shixun Huang, Siyuan Chen, Yue Chang, Zhecheng Wang, Peter Yichen Chen   +4 more
wiley   +1 more source

Balancing Standardisation and Individualisation in Psychosocial Interventions for Perinatal Bereavement: Bereaved Parents' Perspectives From a Qualitative Study

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To explore bereaved parents' experiences of receiving psychosocial interventions (PSIs) in hospital‐based perinatal bereavement care in Ireland. Design Descriptive qualitative study. Methods Fifteen bereaved parents (13 mothers and 2 partners) whose loss occurred within the past three years were recruited via a national parent‐led charity.
Jiaying Xie, Annmarie Grealish, Linda Biesty, Andrew Hunter   +3 more
wiley   +1 more source

Post‐release survival, movement and marine migration of smolt‐to‐adult supplemented Atlantic Salmon

Journal of Fish Biology, EarlyView.
Abstract Atlantic salmon (Salmo salar) populations are declining across much of their range, prompting the use of supplementation strategies, such as smolt‐to‐adult supplementation (SAS), to enhance adult returns. However, little is known about how captivity while maturing to adulthood influences post‐release survival, behaviour and migration of ...
Natalie C. Koopman, Robert J. Lennox, Morgan L. Piczak, Marin Stubbings, Sarah Penney, John Batt, Glenn T. Crossin   +6 more
wiley   +1 more source

Capital‐Labour Substitution in Macroeconomics: A Survey of Mechanisms, Dynamics and Policy Insights

Journal of Economic Surveys, EarlyView.
ABSTRACT Macroeconomic conclusions often hinge on a single, hard‐to‐pin‐down parameter: the elasticity of substitution between capital and labour, σ. This survey synthesises theory and evidence on how results change once we move beyond the Cobb–Douglas benchmark (σ=1$\sigma = 1$).
Francisco Rebelo, Fernando Del Río
wiley   +1 more source

The distributional Koopman operator for random dynamical systems

Mathematics of Control, Signals, and Systems
The Distributional Koopman Operator (DKO) is introduced as a way to perform Koopman analysis on random dynamical systems where only aggregate distribution data is available, thereby eliminating the need for particle tracking or detailed trajectory data.
Maria Oprea, Alex Townsend, Yunan Yang
openaire   +3 more sources