Results 11 to 20 of about 1,655 (114)

Ergodicity of the zigzag process [PDF]

open access: yes, 2019
The zigzag process is a Piecewise Deterministic Markov Process which can be used in a MCMC framework to sample from a given target distribution. We prove the convergence of this process to its target under very weak assumptions, and establish a central ...
Bierkens, Joris   +2 more
core   +4 more sources

Singular integral operators. The case of an unlimited contour

open access: yesJournal of Numerical Analysis and Approximation Theory, 2005
Let \(\Gamma\)be a closed or unclosed unlimited contour, a shift \(\alpha(t)\) maps homeomorphicly the contour \(\Gamma\) onto itself with preserving or reversing the direction on \(\Gamma\) and also satisfies the conditions: for some natural \(n\geq2\),
V. Neaga
doaj   +2 more sources

Non-hermitean delocalization in an array of wells with variable-range widths

open access: yes, 2000
Nonhermitean hamiltonians of convection-diffusion type occur in the description of vortex motion in the presence of a tilted magnetic field as well as in models of driven population dynamics. We study such hamiltonians in the case of rectangular barriers
B. Souillard   +15 more
core   +1 more source

Computing the diffusion coefficient for intermittent maps: Resummation of stability ordered cycle expansions

open access: yes, 1997
We compute the diffusion coefficient and the Lyapunov exponent for a diffusive intermittent map by means of cycle expansion of dynamical zeta functions.
Dahlqvist, Per, Dettmann, Carl P.
core   +1 more source

Topological chaos, braiding and bifurcation of almost-cyclic sets [PDF]

open access: yes, 2012
In certain two-dimensional time-dependent flows, the braiding of periodic orbits provides a way to analyze chaos in the system through application of the Thurston-Nielsen classification theorem (TNCT).
Grover, Piyush   +3 more
core   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source

The projection dynamic, the replicator dynamic and the geometry of population games [PDF]

open access: yes, 2007
Every population game defines a vector field on the set of strategy distributions X. The projection dynamic maps each population game to a new vector field: namely, the one closest to the payoff vector field among those that never point outward from X.
Dokumaci, E., Lahkar, R., Sandholm, W.H.
core  

Spectral Characterization of Anomalous Diffusion of a Periodic Piecewise Linear Intermittent Map

open access: yes, 2003
For a piecewise linear version of the periodic map with anomalous diffusion, the evolution of statistical averages of a class of observables with respect to piecewise constant initial densities is investigated and generalized eigenfunctions of the ...
Artuso   +31 more
core   +1 more source

Robust Adaptive Model Predictive Control for Tracking in Interconnected Systems via Distributed Optimization

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero   +2 more
wiley   +1 more source

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