• 并且方程线性无关至少有一零点收敛指数无穷

    And for its arbitrary two linearly independent solutions , at least one is of infinite exponent of convergence of zeros.

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  • 一定条件下得到了其零点收敛指数精确估计

    Under certain conditions, it obtaines the exact estimate of the order and the convergence of zeros of the solutions of the equations.

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  • 本文研究线性微分方程超级二级不同零点收敛指数

    In this thesis, we investigate the hyper-order and the hyper-exponent of convergence of the distinct zeros of solutions of linear differential equations.

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  • 本文研究微分方程迭代增长零点迭代收敛指数

    In this paper, we investigate the iterated order and iterated convergence exponent to zero sequence of the solutions of some classes of differential equations.

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  • 主要讨论齐次线性微分方程函数点的收敛指数

    In this paper, we investigate the problem of the convergence of zeros of the solution of higher order linear differential equation to small order of growth function.

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  • 主要讨论高阶齐次线性微分方程解取小函数点的收敛指数

    The Exponential Convergence and Boundedness of the Solutions for Functional Differential Equations;

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  • 一定条件下得到上述方程增长零点收敛指数精确估计

    Under some conditions, we obtain the precise estimates of the orders of growth and of the exponents of convergence of the zero - sequence of the solutions of the above equations.

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  • 研究了几类K系数线性微分方程超级、零点收敛指数零点收敛指数,得到一些精确结果。

    The hyper order, the exponent of convergence and the hyper-exponent of convergence of zeros of solutions for some types of K-order linear differential equations with entire coefficients are discussed.

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  • 证明存在噪声干扰网络设计误差的情况下,网络训练过程具有指数收敛棒平稳性。

    The exponential convergence of the training process and its robust stability to the noise perturbances and the network design errors are also proved.

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  • 特别对应用广泛指数,本文在较易实际验证条件下给出了相应EM算法收敛结果

    Especially, we give some results of the convergence of the EM algorithm for the curved exponential family under the conditions checked easily.

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  • 首先利用非对称LINEX损失函数指数分布刻度参数进行经验叶斯估计讨论了估计性质,给出了收敛速度。

    First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.

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  • 利用李亚普诺夫函数分析了误差系统稳定性说明误差指数收敛的。

    The stability of the error system is analyzed by a Lyapunov function, which shows that the errors are exponential convergent.

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  • 证明了系统所有信号有界全局指数收敛原点的一个邻域

    All signals of the system are bounded and exponentially converge to the neighborhood of the origin.

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  • 提出一种非线性状态观测器设计方案理论上证明了状态观测误差的指数收敛

    A new design method of nonlinear reduced order state observer is proposed, and the exponential convergence is proved for the proposed state observer.

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  • 证明多维指数分布收敛

    We also proved that the class of the multivariate exponential distribution is closed under weak convergence.

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  • 本文对减执行器水面舰船系统提出一种具有指数收敛光滑时变反馈控制 ,使得闭环系统被全局镇定 。

    Moreover, the control laws using smooth time varying feedback do not stabilize the system at exponential convergence rate.

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  • 降维观测器保证估计状态指数规律渐近趋近系统真实状态,并且通过观测器增益参数的适当选取,可使状态估计误差以指定的收敛速度趋于零。

    By selecting the gain of the observer, the observer can guarantee the estimated states converge exponentially to the true states of the system with arbitrary rate of convergence.

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  • 随着差异沉降进一步增大接口处应力指数形式迅速增大,呈现收敛趋势

    When differential settlement further increases, the stress of intersection interfaces increases in exponential form, which shows great divergent trend.

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  • 通过李亚普诺夫稳定理论证明跟踪误差指数收敛仿真结果验证这种方法有效性

    It is showed by the Lyapunov stability theorem that the tracking errors converge exponentially. The simulation results illustrate the efficiency of this method.

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  • 实际系统计算结果表明算法迭代收敛次数稳定,系统规模关系不大,在求解大规模系统无功优化问题时,其性能优于具有指数时间复杂性的单纯性法。

    The computation results of practical power systems show that the number of iterations of this algorithm is independent of system's size, and it is superior to simplex...

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  • 最后基于这个指数收敛性质,我们得到了非线性边界层问题稳定性

    Then, based on this property, nonlinear stability of the boundary layers is obtained by bootstrap argument.

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  • 最后基于这个指数收敛性质,我们得到了非线性边界层问题稳定性

    Then, based on this property, nonlinear stability of the boundary layers is obtained by bootstrap argument.

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