Results 111 to 120 of about 472,452 (242)

Model-Based Control Using Koopman Operators

open access: yesRobotics: Science and Systems XIII, 2017
This paper explores the application of Koopman operator theory to the control of robotic systems. The operator is introduced as a method to generate data-driven models that have utility for model-based control methods. We then motivate the use of the Koopman operator towards augmenting model-based control.
Ian Abraham   +2 more
openaire   +3 more sources

Running towards: Labour market incentives for runaway slaves in the British Cape Colony, 1830–1838

open access: yesAsia‐Pacific Economic History Review, EarlyView.
Abstract Recent scholarship on slave escapes has increasingly emphasised economic motivation, but few studies have empirically investigated how market incentives influenced the decision‐making of enslaved individuals during transitions from coerced to wage labour.
Karl Bergemann   +2 more
wiley   +1 more source

A Koopman-Theoretic Approach to Car-Following and Multi-Lane Interaction Modeling

open access: yesIEEE Open Journal of Intelligent Transportation Systems
This paper presents a Koopman operator-based approach for the car-following model using SwarmDMD, a dynamic mode decomposition (DMD)-type algorithm designed to capture multi-agent interactions.
Shakib Mustavee, Shaurya Agarwal
doaj   +1 more source

Kernel methods for the approximation of the eigenfunctions of the Koopman operator

open access: yesPhysica D: Nonlinear Phenomena
The Koopman operator provides a linear framework to study nonlinear dynamical systems. Its spectra offer valuable insights into system dynamics, but the operator can exhibit both discrete and continuous spectra, complicating direct computations. In this paper, we introduce a kernel-based method to construct the principal eigenfunctions of the Koopman ...
Lee J.   +5 more
openaire   +3 more sources

A Convex Optimization Approach to Learning Koopman Operators

open access: yesCoRR, 2021
Koopman operators provide tractable means of learning linear approximations of non-linear dynamics. Many approaches have been proposed to find these operators, typically based upon approximations using an a-priori fixed class of models. However, choosing appropriate models and bounding the approximation error is far from trivial.
openaire   +3 more sources

Pericapsular nerve group block with phenol for non‐operative hip fracture management in patients living with frailty: a prospective multicentre cohort study

open access: yesAnaesthesia, EarlyView.
Summary Introduction The incidence of hip fractures is rising with the ageing population. For patients living with severe frailty and limited life expectancy, non‐operative management is increasingly considered after shared decision‐making. Given the limited availability of long‐term analgesic options, alternative techniques are needed.
Rachel J. H. Smits   +24 more
wiley   +1 more source

Recursive Forward-Backward EDMD: Guaranteed Algebraic Search for Koopman Invariant Subspaces

open access: yesIEEE Access
The implementation of the Koopman operator on digital computers often relies on the approximation of its action on finite-dimensional function spaces. This approximation is generally done by orthogonally projecting on the subspace.
Masih Haseli, Jorge Cortes
doaj   +1 more source

Introduction to the Koopman operator in Systems and Control

open access: yes, 2018
The Koopman operator is a linear, infinite-dimensional operator defined for a nonlinear dynamical system. Through this linear operator, we can exploit established linear techniques (e.g.
Mauroy, Alexandre; id_orcid   +1 more
core  

Volunteering While Researching Conflict and Violence: Reflections on Listening, Solidarity, and Decoloniality in Myanmar's Borderlands

open access: yesAsia Pacific Viewpoint, EarlyView.
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

Neural Network Augmented Koopman Explicit Model Following Control for Robotic Manipulators

open access: yesIEEE 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

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