Lagrangian coherent structures
G Haller - Annual review of fluid mechanics, 2015 - annualreviews.org
Typical fluid particle trajectories are sensitive to changes in their initial conditions. This
makes the assessment of flow models and observations from individual tracer samples …
makes the assessment of flow models and observations from individual tracer samples …
Generalized Lagrangian coherent structures
S Balasuriya, NT Ouellette, II Rypina - Physica D: Nonlinear Phenomena, 2018 - Elsevier
The notion of a Lagrangian Coherent Structure (LCS) is by now well established as a way to
capture transient coherent transport dynamics in unsteady and aperiodic fluid flows that are …
capture transient coherent transport dynamics in unsteady and aperiodic fluid flows that are …
Lagrangian based methods for coherent structure detection
MR Allshouse, T Peacock - Chaos: An Interdisciplinary Journal of …, 2015 - pubs.aip.org
There has been a proliferation in the development of Lagrangian analytical methods for
detecting coherent structures in fluid flow transport, yielding a variety of qualitatively different …
detecting coherent structures in fluid flow transport, yielding a variety of qualitatively different …
How sensitive are Lagrangian coherent structures to uncertainties in data?
A Badza, TW Mattner, S Balasuriya - Physica D: Nonlinear Phenomena, 2023 - Elsevier
Lagrangian coherent structures (LCSs) are time-varying entities which capture the most
influential transport features of a flow. These can for example identify groups of particles …
influential transport features of a flow. These can for example identify groups of particles …
[HTML][HTML] Dynamical systems, algebraic topology and the climate sciences
M Ghil, D Sciamarella - Nonlinear Processes in Geophysics, 2023 - npg.copernicus.org
The definition of climate itself cannot be given without a proper understanding of the key
ideas of long-term behavior of a system, as provided by dynamical systems theory. Hence, it …
ideas of long-term behavior of a system, as provided by dynamical systems theory. Hence, it …
Finite time lyapunov exponent analysis of model predictive control and reinforcement learning
Finite-time Lyapunov exponents (FTLEs) provide a powerful approach to compute time-
varying analogs of invariant manifolds in unsteady fluid flow fields. These manifolds are …
varying analogs of invariant manifolds in unsteady fluid flow fields. These manifolds are …
Learning and leveraging features in flow-like environments to improve situational awareness
This letter studies how global dynamics and knowledge of high-level features can inform
decision-making for robots in flow-like environments. Specifically, we investigate how …
decision-making for robots in flow-like environments. Specifically, we investigate how …
Topology of dynamical reconstructions from Lagrangian data
Abstract Branched Manifold Analysis through Homologies (BraMAH) is a technique that
computes the state-space topology of a dynamical reconstruction from scalar data. This work …
computes the state-space topology of a dynamical reconstruction from scalar data. This work …
Topological colouring of fluid particles unravels finite-time coherent sets
This work describes the application of a technique that extracts branched manifolds from
time series to study numerically generated fluid particle behaviour in the wake past a …
time series to study numerically generated fluid particle behaviour in the wake past a …
A flow-informed strategy for ballistic capture orbit generation
M Manzi, F Topputo - Celestial Mechanics and Dynamical Astronomy, 2021 - Springer
Ballistic capture is a phenomenon by which a spacecraft approaches its target body, and
performs a number of revolutions around it, without requiring manoeuvres in between …
performs a number of revolutions around it, without requiring manoeuvres in between …