ID 原文 译文
50307 同时，基于强跟踪滤波器理论(strong tracking filters，STF)，引入多重自适应衰减因子调节协方差矩阵，使得滤波器具有强跟踪能力和克服系统模型不确定的鲁棒性，改善了滤波器的估计精度。 At the same time, based on the theory of strong tracking filter (strong tracking filters, STF), the introduction of multiple adaptive damping factor to adjust the covariance matrix, the filter has strong tracking ability and overcome the robustness of uncertain system model, the estimation precision of the filter is improved.
50308 将该方法应用于卫星自主导航系统中，实验仿真结果表明，相对于平方根UKF和STF，该方法不仅保证了系统的可靠性，还提高系统的导航精度和改善系统的鲁棒性及跟踪能力。 The method was applied to satellite autonomous navigation system, the experimental simulation results show that relative to the root UKF and STF, this method not only ensure the reliability of the system, and improve the navigation precision of the system and improve system robustness and tracking ability.
50309 针对传统的ε-不敏感支持向量回归机(ε-insensitive support vector regression，ε-SVR)未充分考虑局部支持向量对回归预测结果的影响，不利于提高回归预测精度的问题，提出了一种ε-SVR预测误差校正方法。 Is insensitive to the epsilon - against the traditional support vector regression machine (epsilon insensitive - support vector regression, epsilon - SVR) not fully consider the influence of the local support vector regression prediction results, is not conducive to improve the predictive accuracy of regression problem, this paper proposes an epsilon - SVR prediction error correction methods.
50310 该方法以期望预测值与ε-SVR回归预测值及局部支持向量间的欧氏距离和最小为目标函数，以ε不敏感损失带(ε-tube)宽度为约束条件，通过利用高维特征空间中ε-tube边界上和边界外的局部支持向量对ε-SVR的回归预测值进行误差校正。 The method to forecast and epsilon - SVR regression prediction and the Euclidean distance between local support vector and minimum as the objective function, the loss is not sensitive to epsilon band width (epsilon - tube) as constraint conditions, by using the epsilon - tube in high dimensional feature space outside the boundary and boundary of local support vector regression prediction of epsilon - SVR error correction.
50311 利用人工产生的不同分布数据集和UCI数据集进行的仿真结果表明，与传统的ε-SVR相比，该文方法具有更高的预测精度和更强的泛化能力。 Different distribution produced using artificial data set and UCI data sets of the simulation results show that compared with the traditional epsilon - the SVR, this method has higher prediction precision and better generalization ability.
50312 异构无线传感器网络(heterogeneous wireless sensor works，HWSN)能有效降低数据转发延迟、网络能量消耗，是一种更现实的网络模型，基于HWSN的k容错性拓扑控制是一类NP-难问题。 Heterogeneous wireless sensor networks (heterogeneous wireless sensor works, HWSN) can effectively reduce the traffic delay, the network energy consumption, is a more realistic network model, based on HWSN k fault tolerant topology control is a kind of NP - hard problem.
50313 在综合分析HWSN网络模型的基础上，本文设计了简化网络图构建方法，通过构造有序邻集来约束节点的最大发射功率，以网络总功耗与容错性双优化为目标，实现了一个k容错性分布式拓扑控制算法(k-fault-tolerant distributed topology control，k-FTDTC)。 On the basis of comprehensive analysis HWSN network model, this paper designed the method of establishing simplified network diagram, set by constructing orderly adjacent to one of the biggest constraints node transmission power, total power consumption and the fault tolerance by network into a target, optimization of implements a k fault-tolerant distributed topology control algorithm (k - fault - tolerant distributed topology control, k - FTDTC).
50314 实验结果表明，相比分布式拓扑控制(distributed adaptive topology control，DATC)方法，k-FTDTC算法有效降低了网络总功耗和最大发射功率，且具有较好的容错性和较低算法复杂度。 Compared to the experimental results show that the distributed topology control (distributed adaptive topology control, DATC) method, k - FTDTC algorithm effectively reduces the total power consumption and maximum transmitted power network, and has good fault tolerance and low algorithm complexity.
50315 针对多无人机协同对地打击的任务区集结问题，建立了基于一致性理论的分布式控制结构， For multiple unmanned aerial vehicle (uav) cooperative mission area of blow gathering problem, set up a distributed control structure based on the theory of the consistency,
50316 设计了结合航迹规划与轨迹控制的策略以实现多无人机同时到达。 design the combination of path planning and trajectory control strategy for multiple unmanned aerial vehicle (uav) arrive at the same time.