Results 11 to 20 of about 17,845,866 (289)
Stochastic resonance in electrical circuits—I: Conventional stochastic resonance. [PDF]
, 1999 Stochastic resonance (SR), a phenomenon in which a periodic signal in a nonlinear system can be amplified by added noise, is introduced and discussed. Techniques for investigating SR using electronic circuits are described in practical terms.
Luchinsky, D. G. +3 more
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Modelling and solution methods for stochastic optimisation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
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Stochastic resonance in electrical circuits—II: Nonconventional stochastic resonance. [PDF]
, 1999 Stochastic resonance (SR), in which a periodic signal in a nonlinear system can be amplified by added noise, is discussed. The application of circuit modeling techniques to the conventional form of SR, which occurs in static bistable potentials, was ...
Luchinsky, D. G. +7 more
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Stability of hybrid stochastic retarded systems [PDF]
, 2008 -In the past few years, hybrid stochastic retarded systems (also known as stochastic retarded systems with Markovian switching), including hybrid stochastic delay systems, have been intensively studied. Among the key results, Mao et al.
Huang, Lirong, Deng, Feiqi, Mao, Xuerong
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Stochastic chaplygin systems [PDF]
Reports on Mathematical Physics, 2010 We mimic the stochastic Hamiltonian reduction of Lazaro-Cami and Ortega [17, 18] for the case of certain non-holonomic systems with symmetries. Using the non-holonomic connection it is shown that the drift of the stochastically perturbed $n$-dimensional Chaplygin ball is a certain gradient of the density of the preserved measure of the deterministic ...
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A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
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IEEE Access, 2020 This manuscript considers the finite time adaptive neural tracking control problem for a class of the nonstrict-feedback stochastic nonlinear systems with Bouc-Wen hysteresis input.
Zheng Li, Fang Wang, Jianhui Wang
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Description of a stochastic system by a nonadapted stochastic process [PDF]
Physical Review E, 2021 11 pages 4 ...
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IEEE Access, 2020 Although discrete-event simulation has been widely used in various engineering fields, its efficiency remains an issue. Ranking and selection (R&S) procedures can solve this efficiency problem by allocating a limited simulation budget ...
Seon Han Choi, Changbeom Choi
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Mathematics, 2023 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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