Results 91 to 100 of about 4,627 (196)

Lyapunov exponents, phase transitions, and Chaos bound of ModMax AdS black holes

European Physical Journal C: Particles and Fields
We study the thermodynamic phase transition of ModMax anti-de Sitter (AdS) black holes using Lyapunov exponents of massless and massive particles in unstable circular orbits.
Gorima Bezboruah, Mozib Bin Awal, Prabwal Phukon   +2 more
doaj   +1 more source

Regularity and randomness in ageing: Differences in resting-state EEG complexity measured by largest Lyapunov exponent. [PDF]

Neuroimage Rep, 2021
Ma MK, Fong MC, Xie C, Lee T, Chen G, Wang WS.   +5 more
europepmc   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 4957-4970, June 2026.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf, Andreas Völz, Knut Graichen   +2 more
wiley   +1 more source

Periodic Scenario Trees: A Novel Framework for Robust Periodic Invariance and Stabilization of Constrained Uncertain Linear Systems

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 5069-5086, June 2026.
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam, Sankaranarayanan Subramanian, Sebastian Engell   +2 more
wiley   +1 more source

Lyapunov Characteristic Exponents are Nonnegative [PDF]

Proceedings of the American Mathematical Society, 1993
We prove that, for an arbitrary rational map f f on the Riemann sphere and an arbitrary probability invariant measure on ...
openaire   +1 more source

Probing thermodynamic phase transitions via Lyapunov exponent in AdS black hole with perfect fluid dark matter

European Physical Journal C: Particles and Fields
We revisit the large-small black hole phase transitions in Reissner–Nordström (RN) AdS black holes coupled with perfect fluid dark matter. Besides the free energy, we examine the features of Lyapunov exponents for both massive and massless particles ...
R. H. Ali, Xiao-Mei Kuang
doaj   +1 more source

Diagnosing Kinetic Energy Scaling Using Lagrangian and Eulerian Metrics in Different Dynamical Regimes of the North Atlantic

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract Understanding the multiscale dynamics of ocean surface turbulence requires diagnostics that reliably characterize variability at scales both larger and smaller than the Rossby radius of deformation. This study evaluates the consistency and interpretability of second‐order velocity structure functions derived from Eulerian and Lagrangian ...
I. Leimann, M. Epke, J. Dräger‐Dietel, A. Griesel, M. Walter, L. Linardakis, P. Korn, N. Brüggemann   +7 more
wiley   +1 more source

Lyapunov exponents of free operators

Journal of Functional Analysis, 2008
16 ...
openaire   +3 more sources

Extending Geometric Brownian Motion for Modeling Monthly Streamflow Under Brown Noise Dominance Over Other Colored Noises

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 3, June 2026.
ABSTRACT Noise is an inherent component of observed time series and may be treated either as an undesirable disturbance or as an intrinsic system characteristic containing information about underlying dynamics. In the latter perspective, noise behavior must be analyzed and quantified, and the model used for time‐series synthesis should be compatible ...
Shirin Studnicka, Deli Li, Umed Panu
wiley   +1 more source

A Novel Data-Driven Approach for Managing Renewable Energy Systems During Short-Term Voltage Instability

IEEE Access
This study investigates the application of the maximum Lyapunov exponent in combination with k-means clustering to identify short-term voltage instability in multi-machine power grids.
Stepan P. Vasilev, Oleg O. Khamisov, Petr S. Vasilev   +2 more
doaj   +1 more source