共查询到20条相似文献,搜索用时 562 毫秒
1.
Necessary and sufficient conditions of asymptotic stability in quadratic mean are obtained for trivial solutions of systems
of linear stochastic differential equations under Poisson perturbations. Model problems are analyzed.
Part I of this article is published in No. 4 (2005).
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 50–66, November–December 2005. 相似文献
2.
It it the purpose of this paper to review the results on the construction and implementation of diagonally implicit multistage
integration methods for ordinary differential equations. The systematic approach to the construction of these methods with
Runge–Kutta stability is described. The estimation of local discretization error for both explicit and implicit methods is
discussed. The other implementations issues such as the construction of continuous extensions, stepsize and order changing
strategy, and solving the systems of nonlinear equations which arise in implicit schemes are also addressed. The performance
of experimental codes based on these methods is briefly discussed and compared with codes from Matlab ordinary differential
equation (ODE) suite. The recent work on general linear methods with inherent Runge–Kutta stability is also briefly discussed 相似文献
3.
Using the second Lyapunov method, the exponential p-stability, mean square stability, p-stability, and stability with probability
1 are established for nonlinear stochastic differential equations under Poisson perturbations.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 66–78, July–August 2005. 相似文献
4.
To study the stability of the stochastic“dangling spider” model, the second Lyapunov method is substantiated for stochastic
functional differential equations with the entire previous history.
Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 79–105, July–August, 2000. 相似文献
5.
The problem of optimal control of a manufacturing process is investigated. The dynamics of the process is described by a stochastic
differential equation. Two methods of solution of this problem are considered.
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Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 175–178, May–June 2005. 相似文献
6.
The paper justifies the second Lyapunov method for diffusion stochastic functional differential equations with Markov parameters,
which generalize stochastic diffusion equations without aftereffect. Analogs of Lyapunov stability theorems, which generalize
the results for systems with finite aftereffect, are proved.
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 74–88, January–February 2008. 相似文献
7.
The investigation pursued in the previous article is continued. Using a general algorithm of calculating the optimum prediction
for a random process, an optimum extrapolation estimate is found in explicit form for the decision of a nonlinear evolutionary
differential equation in a Hilbert space with unbounded linear operators. If a differential equation contains a small nonlinearity,
then such an estimate is developed as a series in powers of a small parameter.
Part I of this article is published in No. 3 (2008).
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 110–119, July–August 2008. 相似文献
8.
Ya. E. Romm 《Cybernetics and Systems Analysis》2006,42(1):111-125
For computer analysis of Lyapunov stability, multiplicative criteria are proposed that are based on difference approximations
to solutions of the Cauchy problem. These criteria can be applied to ordinary differential equations in normal form and include
the necessary and sufficient stability conditions. For a system of linear equations with constant coefficients, information
on the characteristic polynomial of the coefficient matrix and its roots is not used. The stability analysis is combined with
difference solution and simulation of error accumulation.
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 127–142, January–February 2006. 相似文献
9.
Strong stability preserving (SSP) high order time discretizations were developed for solution of semi-discrete method of lines
approximations of hyperbolic partial differential equations. These high order time discretization methods preserve the strong
stability properties–in any norm or seminorm—of the spatial discretization coupled with first order Euler time stepping. This
paper describes the development of SSP methods and the recently developed theory which connects the timestep restriction on
SSP methods with the theory of monotonicity and contractivity. Optimal explicit SSP Runge–Kutta methods for nonlinear problems
and for linear problems as well as implicit Runge–Kutta methods and multi step methods will be collected 相似文献
10.
针对模型参数部分未知的随机线性连续时间系统, 通过策略迭代算法求解无限时间随机线性二次(LQ) 最优控制问题. 求解随机LQ最优控制问题等价于求随机代数Riccati 方程(SARE) 的解. 首先利用伊藤公式将随机微分方程转化为确定性方程, 通过策略迭代算法给出SARE 的解序列; 然后证明SARE 的解序列收敛到SARE 的解, 而且在迭代过程中系统是均方可镇定的; 最后通过仿真例子表明策略迭代算法的可行性.
相似文献11.
This paper concerns a representation of solutions and the stability of linear systems with multiplicative white noise, which is described by a vector Ito stochastic differential equation. The solution can be represented as a finite product of exponential matrices if Lie algebra generated by system matrices is solvable. If Lie algebra is not solvable, it is shown by the decomposition principle of Lie algebra that the problem of solving an equation can be reduced to the problem of solving a set of equations, whose corresponding Lie algebra is simple. Noting the structure of the sample solution, we present a technique of obtaining asymptotic stability conditions of sample solutions w.p.1, in the pth-order moment and in the pth-mean moment. The necessary and/or sufficient conditions of stability in some stochastic sense are obtained under certain conditions. 相似文献
12.
An organizational two-level hierarchic system is used to examine control models for interregional migration under conditions
of social risks. The Cauchy problem is used to solve the multidimensional transport equation (Problem A1) and a system of
ordinary linear differential equations (Problem A2). For the models proposed, sufficient conditions for the existence of optimal
control on the classes of functions designed are established, and stable numeral methods of searching for optimum solutions
are developed.
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Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 107–122, May–June 2006. 相似文献
13.
V. S. Korolyuk V. I. Musurivskii I. V. Yurchenko 《Cybernetics and Systems Analysis》2007,43(6):876-885
Lyapunov-Krasovskii functionals and infinitesimal operators are employed to analyze a system for asymptotic stochastic stability
on the whole and asymptotic stability on the whole.
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 134–146, November–December 2007. 相似文献
14.
For a stochastic dynamic system with a small parameter, the uniform boundedness of the p-th moment of the solution (p > 1),
the weak convergence of the solution of the system to the solution of Ito stochastic differential equation, and the weak convergence
of normalized deviations are proved. The stability of linear systems with a small parameter and Markov perturbations is analyzed. 相似文献
15.
A method is proposed for the creation of a system of linear integer equations that is equivalent to a given linear integer
equation. The method is based on the theorem stating that one linear integer equation can be transformed into two linear integer
equations with the identical set of nonnegative integer solutions.
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 180–183, January–February 2006. 相似文献
16.
Mohammad Motamed Colin B. Macdonald Steven J. Ruuth 《Journal of scientific computing》2011,47(2):127-149
We study the linear stability of the fifth-order Weighted Essentially Non-Oscillatory spatial discretization (WENO5) combined
with explicit time stepping applied to the one-dimensional advection equation. We show that it is not necessary for the stability
domain of the time integrator to include a part of the imaginary axis. In particular, we show that the combination of WENO5
with either the forward Euler method or a two-stage, second-order Runge–Kutta method is linearly stable provided very small
time step-sizes are taken. We also consider fifth-order multistep time discretizations whose stability domains do not include
the imaginary axis. These are found to be linearly stable with moderate time steps when combined with WENO5. In particular,
the fifth-order extrapolated BDF scheme gave superior results in practice to high-order Runge–Kutta methods whose stability
domain includes the imaginary axis. Numerical tests are presented which confirm the analysis. 相似文献
17.
An iteration procedure for solving Sylvester generalized matrix equation is proposed in this paper. The sufficient conditions
of stability of the iteration procedure for solving this equation are obtained.
Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 183–186, May–June, 2000. 相似文献
18.
Existence of the l-th moment of a solution to a stochastic functional-differential equation with the entire prehistory 总被引:1,自引:1,他引:0
The definition of a strong solution to a stochastic differential-functional equation with the entire prehistory is given,
and basic inequalities required for obtaining existence and uniqueness theorems are proved. Global existence and uniqueness
theorems are proved.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 142–151, July–August 2008. 相似文献
19.
A. N. Vasyukov 《Cybernetics and Systems Analysis》1999,35(5):694-699
Solutions of a generalization of classical stability problems of linear systems are considered from a unified viewpoint of
computational complexity. The stability problems are solved for bundles (generally speaking, continual) that are given by
the degree of the characteristic polynomial and domain of admissible values of parameters. The stability criteria of the objects
considered are proposed, which are based on the classical results obtained for linear systems.
Translated from Kibernetika i Sistemnyi Analiz, No. 5, pp. 17–22, September–October, 1999. 相似文献
20.
Stability of equilibrium states of a nonlinear delay differential equation with stochastic perturbations 下载免费PDF全文
Leonid Shaikhet 《国际强度与非线性控制杂志
》2017,27(6):915-924
》2017,27(6):915-924
The nonlinear delay differential equation with exponential and quadratic nonlinearities is considered. It is assumed that the equation is exposed to stochastic perturbations of the white noise type, which are directly proportional to the deviation of the system state from the equilibrium point. Sufficient conditions for stability in probability of the zero and positive equilibriums of the considered system under stochastic perturbations are obtained. The research results are illustrated by numerical simulations. The proposed investigation procedure can be applied for arbitrary nonlinear stochastic delay differential equations with an order of nonlinearity higher than one. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献