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On extended stochastic integrals with respect to Lévy processes
Let $L$ be a Levy process on $[0,+\infty)$. In particular cases, when $L$ is a Wiener or Poisson process, any square integrable random variable can be decomposed in a series of repeated stochastic integrals from nonrandom functions with respect to $L ...
N.A. Kachanovsky
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We deal with spaces of regular test functions in the Lévy white noise analysis, which are constructed using Lytvynov's generalization of a chaotic representation property.
N.A. Kachanovsky
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Stochastic resonance in clusters of major histocompatibility molecules is extended by a more detailed description of adaptive thresholding and by applying the notion of suprathreshold stochastic resonance as a stochastically quantizing encoder of ...
László Bene +2 more
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ESO‐based output‐feedback regulation control of nonlinear systems with SiISS inverse dynamics
This paper considers the output‐feedback controller for a class of stochastic cascade nonlinear systems with stochastic integral input‐to‐state stable inverse dynamics, unknown control coefficients, and matching disturbances.
Chunxiao Wang +3 more
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A generalization of an extended stochastic integral [PDF]
We propose a generalization of an extended stochastic integral to the case of integration with respect to a broad class of random processes. In particular, we obtain conditions for the coincidence of the considered integral with the classical Ito stochastic integral.
Albeverio, S. +2 more
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Al'brekht's Method in Infinite Dimensions [PDF]
In 1961 E. G. Albrekht presented a method for the optimal stabilization of smooth, nonlinear, finite dimensional, continuous time control systems.
Krener, AJ
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The stochastic process is one of the important branches of probability theory which deals with probabilistic models that evolve over time. It starts with probability postulates and includes a captivating arrangement of conclusions from those postulates ...
Fangfang Ma +2 more
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The article considers the problem of finding the optimal on average control of the trajectories of continuous stochastic systems with incomplete feedback.
Andrei Panteleev, Maria Karane
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Generalisation of fractional Cox–Ingersoll–Ross process
In this paper, we define a generalised fractional Cox–Ingersoll–Ross process (Xt)t≥0as a square of singular stochastic differential equation with respect to fractional Brownian motion with Hurst parameter H∈(0,1)taking the form dZt=f(t,Zt)Zt−1dt+σdWtH/2,
Marc Mukendi Mpanda +2 more
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We deal with spaces of nonregular generalized functions in the Lévy white noise analysis, which are constructed using Lytvynov's generalization of a chaotic representation property.
N.A. Kachanovsky, T.O. Kachanovska
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