ID 原文 译文
48466 对京沪航线及其周围的DME台站数据进行了仿真实验,结果表明,该选台算法在满足导航精度要求的情况下有效避免了换台频繁和台站跳变问题。 DME stations around on the beijing-shanghai route and its data, the simulation experiment results show that the selected table algorithm under the condition of the meet the requirements of navigation precision effectively avoid the frequent change channels and station jump problem.
48467 为解决多反舰导弹的协同航路规划问题,建立了基于空间和时间协同的航路规划模型,并设计了航路可行节点动态开辟算法和协进化多子群蚁群算法。 To solve the problem of the coordination of anti-ship missile route planning, established the model of route planning based on space and time together, and design the route node dynamic opening algorithm feasible and development of children group of ant colony algorithm.
48468 节点开辟算法在任务空间建立搜索树的同时滤除不可行节点,缩小了航路优化搜索范围; Build a search tree node set up algorithm in the task space filtering infeasible nodes at the same time, reduces the search range of route optimization.
48469 多子群蚁群算法结合协进化的基本思想,通过引入蚂蚁子群间的协同进化策略,并对蚁群算法状态转移规则、信息素更新机制进行设计,进而并行搜索多导弹最优协同航路集合。 Fertility group of ant colony algorithm in combination with the basic idea of development, with the introduction of collaborative evolutionary strategy between ants subgroup, and the ant colony algorithm state transition rule and pheromone update mechanism to carry on the design, and the optimal coordination route set parallel search more missiles.
48470 仿真结果表明,本文方法能够为多反舰导弹构建优化的协同飞行航路,不但适用于导弹发射前的预先规划,而且适用于航路分段的局部实时重规划。 The simulation results show that the method can more anti-ship missiles to build collaborative flight route optimization, not only applicable to the launch of a missile, planning in advance, and apply to cruise the local real-time heavy planning of road section.
48471 针对网络控制系统(networked control system,NCS)中随机时延导致系统性能下降的问题,利用粒子群优化(particle swarm optimization,PSO)的最小二乘支持向量机(least square support vector machine,LSSVM)建立NCS中随机时延预测模型,精确预测未来时刻的时延; For networked control systems (networked control system, and replication) of random time delay lead to system performance degradation problems, using particle swarm optimization (particle swarm optimization, PSO) of the least squares support vector machine (further square support vector machine, LSSVM) replication of random time delay prediction model is established, accurately predict future time delay;
48472 同时利用该预测算法预测的时延通过快速隐式广义预测控制算法对NCS随机时延进行补偿。 At the same time using the prediction algorithm to predict the time delay by quickly implicit generalized predictive control algorithm for replication of random time delay compensation.
48473 仿真结果表明,PSO优化的LS-SVM算法对随机时延具有较高的预测精度,同时快速隐式广义预测控制算法可使系统的输出很好地跟踪参考轨迹,保证系统良好的控制效果。 The simulation results show that PSO to optimize the LS - SVM algorithm of random time delay has higher prediction accuracy, and fast implicit generalized predictive control algorithm can make the output of the system to track the reference trajectory, guarantee system, good control effect.
48474 阐述了复合大系统(system of systems,SoS)的特点及基于仿真的性能分析需求,介绍了传统的自底向上和自顶向下两种基本系统仿真方法,并分析了各自的优缺点。 This paper expounds the complex large system (system of systems, SoS) characteristics and based on the simulation of the performance analysis of demand, this paper introduces the traditional bottom-up and top-down two basic system simulation method, and analyzes their respective advantages and disadvantages.
48475 在对状态图、随机状态图和代理模型等基本概念介绍的基础上,提出了一种新的适应于SoS性能分析的仿真方法,并通过一个弹道导弹预警信息系统仿真案例对新方法的可行性进行了验证。 In the state diagram, random state diagram and agent model, on the basis of the basic concept, this paper proposes a new simulation method adapted to the SoS performance analysis, and through a ballistic missile early warning information system simulation example verified the feasibility of new method.