First the asymptotical stability was studied for the closed-loop system.
首先对闭环系统的渐近稳定性进行研究；
And, the global asymptotical stability of positive equilibrium point of the equation is obtained.
并得到方程的正平衡点是全局渐近稳定的。
The problem of the globally asymptotical stability of recurrent neural networks with time varying delay is investigated.
研究了带时变时滞的递归神经网络的全局渐近稳定性。
We give a simple sufficient condition on control gain that guarantees globally asymptotical stability of closed loop system.
本文提出了一个简单的关于控制增益的条件，保证了闭环系统的全局渐近稳定性。
It is proved that globally asymptotical stability and convergence of the resulting closed-loop system are guaranteed by the range of the prediction horizon.
从理论上证明了它可保证闭环系统的全局渐近稳定和收敛，并定量给出了预测水平的选择范围。
The asymptotical stability of the subharmonic resonances and the sensitivity of the amplitude responses to the variation of damping coefficient were examined.
考察了亚谐响应幅值系数对阻尼的敏感性及亚谐振动谐波成分的渐近稳态性。
First, amplitude bounded exogenous disturbance is considered and sufficient conditions that ensure the asymptotical stability of the origin of the systems is derived.
首先，考虑了振幅有界的外部干扰，得到了保证系统原点渐近稳定的充分条件。
A sufficient condition guaranteeing the global asymptotical stability of the equilibrium point is derived for a class of neural network models with variable delay and neutral type delay.
摘要针对一类能够由中立型变延迟非线性微分方程描述的神经网络模型，给出了全局渐近稳定的不依赖于时间延迟的充分条件。
In order to apply well to the process with time delay, a model-free predictive control law for the PSD is proposed which scheme is based on the asymptotical stability in delay-free PSD system.
为了更好地应用于时滞过程，利用无时滞psd系统渐近稳定的特点，提出了无预估模型的PS D自适应预估控制算法。
We prove that the solution of a nonlinear complementarity problem is exactly the equilibrium point of differential equation system, and prove the asymptotical stability and global convergence.
在一定的条件下我们证明了非线性互补问题的解是该微分方程系统的平衡点，并且证明了该微分方程系统的稳定性和全局收敛性。
The stability of the closed-loop system's and its asymptotical convergence of tracking errors can be guaranteed.
证明了该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
By using Lyapunov stability theorem, both the stability of closed-loop system and the asymptotical convergence of tracking errors are ensured.
李亚普诺夫稳定性定理保证了闭环系统的稳定性及跟踪误差的渐近收敛。
By using Lyapunov stability theorem, both the stability of closed-loop system and the asymptotical convergence of tracking errors are ensured.
李亚普诺夫稳定性定理保证了闭环系统的稳定性及跟踪误差的渐近收敛。
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