拓扑结构

On the basis of analyzing topological structures of the proposed systems and compensator in depth, corresponding control approaches are put forward.

在深入分析上述系统拓扑结构的基础上，提出了相应的控制方法。

By decomposing each polygon into a set of several individual convex sub-polygons and constructing the map between the two sets, this method can solve the metamorphosis problem of two polygons which have not same topology(including concave polygon and holey polygon).

解决了任意非同拓扑结构的变形问题。

A constrained energy minimization based on level set method for 3D reconstruction of object with complex topology is proposed.

提出了基于最小能量约束的水平集重构方法，用以解决由三维数据点云自动重构复杂拓扑结构物体模型的问题。

The topological structure of feedback space for control system is discussed in this paper.

摘要本文讨论控制系统反馈空间的拓扑结构。

In order to form wireless multihop networks with low energy,high connectivity,low interference and desirable route,the paper applied topology controlment scheme based on game theory and designed a novel utility function.

为了构建低耗能、高连通性、低干扰并具有合理路由的多跳无线网络，应用基于博弈论的网络拓扑结构控制解决方案，为节点设计了一种新颖的收益函数。

The relationship between the topology and convegence of networks is approached and the reason causing overtraining and overfitting is analysed. Then the redundant weights and nodes in the network are defined by using improved activity function and a new algorithm called the BPNSO for determining the network structure for any application is proposed, which use dual optimization objective function combining the mean squre error of the network output with network complexity penalty function.

文章对网络拓扑结构与网络收敛性和稳定性的关系进行了探讨，分析了网络出现Overtraining或Overfitting的原因和解决的目标，提出了神经网络结构优化的策略，改进了活化函数，定义了冗余权值和冗余节点的概念，为辨识和删除冗余权值和冗余节点，提出采用优化目标函数中增加网络复杂度罚函数的双重优化目标函数，并对罚因子提出了基于学习误差和权值的自适应动态调整公式，论文定义了这种BP网络结构优化方法为BPNSO，并给出了完整的计算流程。

Based on this, it explored the convergency feature, dynamic feature and class feature of industry network.

在此基础上，探讨了产业网络集聚特性、动态特性和层级特性，并以此定性地推导出产业网络的拓扑结构可能具有小世界特性和无标度特征。

If the topology is fixed and time-invariant, the consensus value of discrete-time systems also globally asymptotically converges to the convex combination of initial states, which is identical to continuous systems.

如果多智能体网络系统的拓扑结构没有改变，在离散状态下系统的一致平衡点仍收敛于初始状态的凸组合，并且离散状态下系统的一致平衡点与连续状态下系统的一致平衡点相等。

Second, we prove that consensus value of continuous time-invariant systems converges globally asymptotically to the convex combination of initial states, thus, determining the consensus value of the non-balanced topology.

对于多智能体网络连续系统，该系统的一致平衡点最终收敛于初始状态的凸组合，本文最终确定了非平衡拓扑结构的一致平衡点。

A novel three-phase power factor correction with double frequency is proposed in this paper.

文中提出了一种新型的双频三相全桥功率因数校正器拓扑结构。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。