| 1. | Estimating attraction regions of robotic grasp with weighting - norm
利用加权范数估计机器人抓取系统的吸引域 |
| 2. | Furthermore , for the immediately attracting domain at 0 , we can remove the non - renormalizable condition
进一步，我们考虑人在0点的直接吸引域，得到定理3 。 |
| 3. | The first two chapters provide the background knowledge as well as the state - of - the - art of recurrent neural networks
第三章主要讨论时延hopfield神经网络平衡点吸引域估计。 |
| 4. | / / the julia set j ( fc ) of fc is connected , then the boundary of the immediately attracting domain of fc at 0 is a jordan curve
L 。 a集是连通的，那么人在0 ，卢、的直接吸引域是joulan曲线，从而是局部连通的。 |
| 5. | Furthermore , according to the method of liapunov functions in the stability theory , both the globally asymptotic stability and the attractive regions of the nonnegative equilibrium in the model are discussed
同时，对系统解的吸引域以及平衡态的全局稳定性，采用李雅普诺夫函数法进行完整的讨论。 |
| 6. | The reason why the periodic solutions on some of the bifurcation branches cannot be located by using direct integration is also discussed from the viewpoint of the finite dimensional basin of attraction
此外，用时滞系统的有限维吸引域方法初步探索了为何部分理论分析预测的周期解无法通过数值法得到。 |
| 7. | This paper is focused on estimating the domains of attraction of equilibrium points for hopfield neural networks with delays and stabilizing a class of time - delays neural networks via standard feedback control
本学位论文主要研究了时延hopfield神经网络平衡点吸引域估计以及通过标准反馈控制使一类时延神经网络稳定化。 |
| 8. | The deep - stall characteristics of different aircraft configurations are analyzed with bifurcation analysis methods , and the convergence regions of a deep - stall attractor are constructed with backward integration techniques
摘要用分支分析方法分析了不同构型飞机的深失速特性，用反向积分技术计算了深失速吸引子的吸引域。 |
| 9. | In chapter 5 , both the convergence of discrete time cellular neural networks with the non - reciprocal templates in interacting updating mode , in non - interacting updating mode , and some properties of strict networks with value of zero threshold are studied
第五章研究了模板非互补的离散时间细胞神经网络在细胞相互作用演化方式和非相互作用演化方式下的收敛性，并且对并行和串行演化模式下的阈值为零的严格网络的吸引域的一些特性进行了研究。 |
| 10. | Chapter 3 investigates the estimation of the domains of attraction of equilibrium points for hopfield neural networks with delays , where hopfield neural networks with discrete and distributed delays are considered . we derive a sufficient condition for an equilibrium point to be locally exponentially stable
分别针对带离散时间延迟和带分布式时间延迟的hopfield神经网络,得出了平衡点局部指数稳定的充分条件,同时提出了一种指数稳定平衡点的吸引域的估计方法。 |
