| ID | 原文 | 译文 |
| 10854 | 本文总结现有的系统可靠性分析方法,将其划分为4大类,即解析法、蒙特卡罗法、综合法和网络法,并对上述4种方法的优缺点及适用的系统进行了分析。 | Reliability analysis, this paper summarizes the existing system can be divided into four categories, namely, analytic method, monte carlo method, synthesis method, and the network and the advantages and disadvantages of the above 4 methods and applicable system are analyzed. |
| 10855 | 最后指出将表征组成系统的各组份相互关系的拓扑结构和表征系统组份的节点可靠性属性相结合,构建新的可靠性测度指标评价系统可靠性是未来系统可靠性分析方法的研究趋势。 | And finally points out that the characterization of various components of system topology structure and the system of the relationship between the components of the node reliability properties, the combination of building new reliability measure index evaluation system reliability will be the future research trend of system reliability analysis method. |
| 10856 | 针对无人机协同控制问题,提出一种多无人机任务分配与航迹规划的整体控制架构。 | For unmanned aerial vehicle (uav) cooperative control problem, the paper puts forward a kind of multiple unmanned aerial vehicle (uav) task allocation and path planning of the overall control architecture. |
| 10857 | 将威胁和障碍区域考虑为合理的多边形模型,使用改进的A*算法规划出两个航迹点之间的最短路径。 | Will threat and obstacle area to consider as reasonable polygon model, using the improved A * algorithm planning the shortest path between two path points. |
| 10858 | 并利用该路径航程作为任务分配过程全局目标函数的输入,采用与协同系统相匹配的粒子结构进行改进粒子群优化(particle swarm optimization,PSO)任务分配迭代寻优。 | And by using the path distance as the global objective function input task allocation process, the match the collaborative system particle structure of the improved particle swarm optimization (particle swarm optimization, PSO) task allocation iterative optimization. |
| 10859 | 根据分配结果并考虑无人机性能约束,基于B-spline法平滑路径组合,生成飞行航迹。 | According to the results of the distribution and consider uavs performance constraint, based on B - spline smoothing path combination, generate the flight path. |
| 10860 | 仿真结果表明,算法在保证计算速度和收敛性能的同时,能够产生合理的任务分配结果和无人机的可飞行航迹。 | Simulation results show that the algorithm in computing speed and convergence performance at the same time, can produce reasonable task allocation results and unmanned aerial vehicle (uav) flight path. |
| 10861 | 针对标准标签多伯努利(labeled multi-Bernoulli,LMB)算法只考虑了单个运动模型的问题,提出了一种适用于跳转马尔科夫系统的多模型标签多伯努利(multiple model LMB,MM-LMB)算法。 | For more than the standard label Bernoulli (labeled multi - Bernoulli, LMB) algorithm only considers the problem of a single movement model, this paper proposes a multiple model label applies to jump markov system Bernoulli (multiple model LMB, MM - LMB) algorithm. |
| 10862 | 首先对目标状态进行扩展,将多模型思想引入LMB算法得到了新的预测和更新方程,并给出了算法的序贯蒙特卡罗实现。 | First of all to extension of target state, the model is introduced LMB algorithm, the new prediction and update equations are obtained and the algorithm of sequential monte carlo implementation is given. |
| 10863 | 仿真实验表明,MM-LMB算法能对多机动目标进行有效跟踪,在复杂探测环境下跟踪精度优于多模型概率假设密度(multiple model probability hypothesis density,MM-PHD)算法和多模型势平衡多目标多伯努利(multiple model cardinality balanced multi-target multi-Bernoulli,MM-CBMeMBer)算法; | Simulation experiments show that the MM - LMB algorithm for tracking multiple maneuvering targets effectively and tracking accuracy is better than that of multiple model under complex environs probability hypothesis density (multiple model aim-listed probability content, density, MM - PHD) algorithm and more balanced multi-objective model potential Bernoulli (multiple model cardinality balanced multi target, multi - Bernoulli, MM - CBMeMBer) algorithm. P |