Results 41 to 50 of about 1,655 (114)
Universal parametric correlations in the classical limit of quantum transport [PDF]
, 2007 Quantum corrections to transport through a chaotic ballistic cavity are known to be universal. The universality not only applies to the magnitude of quantum corrections, but also to their dependence on external parameters, such as the Fermi energy or an ...
Brouwer, Piet W., Rahav, Saar
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International Journal of Differential Equations, Volume 2026, Issue 1, 2026.This study introduces a novel fractal–fractional extension of the Hodgkin–Huxley model to capture complex neuronal dynamics, with particular focus on intrinsically bursting patterns. The key innovation lies in the simultaneous incorporation of Caputo–Fabrizio operators with fractional order α for memory effects and fractal dimension τ for temporal ...
M. J. Islam +4 more
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Reference Tracking and Disturbance Rejection for Nonlinear Systems Using LPV Control
International Journal of Robust and Nonlinear Control, Volume 35, Issue 18, Page 7748-7766, December 2025.ABSTRACT The Linear Parameter‐Varying (LPV) framework has been introduced with the intention to provide stability and performance guarantees for analysis and controller synthesis for Nonlinear (NL) systems through convex methods. By extending results of the Linear Time‐Invariant framework, mainly based on quadratic stability and performance using ...
Patrick J. W. Koelewijn +3 more
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Control of Hamiltonian chaos as a possible tool to control anomalous transport in fusion plasmas
, 2003 It is shown that a relevant control of Hamiltonian chaos is possible through suitable small perturbations whose form can be explicitly computed. In particular, it is possible to control (reduce) the chaotic diffusion in the phase space of a Hamiltonian ...
A. Crisanti +17 more
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Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
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A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1593-1615, December 2025.ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan +5 more
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Families of piecewise linear maps with constant Lyapunov exponent
, 2012 We consider families of piecewise linear maps in which the moduli of the two slopes take different values. In some parameter regions, despite the variations in the dynamics, the Lyapunov exponent and the topological entropy remain constant.
Botella-Soler, V. +3 more
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Algebras of singular integral operators with piecewise continuous coefficients on weighted Nakano spaces [PDF]
, 2006 We find Fredholm criteria and a formula for the index of an arbitrary operator in the Banach algebra of singular integral operators with piecewise continuous coefficients on Nakano spaces (generalized Lebesgue spaces with variable exponent) with ...
Karlovich, Alexei Yu.
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(2+1)-Dimensional Quantum Gravity as the Continuum Limit of Causal Dynamical Triangulations
, 2007 We perform a non-perturbative sum over geometries in a (2+1)-dimensional quantum gravity model given in terms of Causal Dynamical Triangulations. Inspired by the concept of triangulations of product type introduced previously, we impose an additional ...
A. Crisanti +10 more
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Searching for Universality of Turbulence in the Earth's Magnetosphere
Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
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