ID 原文 译文
10414 利用超网络构建体系结构的复杂关系模型,实现了系统、功能、活动、行为与能力等体系要素之间的层次关联。 Using super network building complex relationship model of system structure, implementing the system, function, activity, behavior and ability, the level of the connection between system elements.
10415 通过超边机制将粒模型与超网络模型较好地联系起来。 Through the super edge mechanism will grain model with super network model is better.
10416 针对单部窄带雷达无法获得高速自旋目标无失真二维像的问题,研究了基于多部窄带雷达组网的自旋目标无失真成像方法。 For single department don't have access to high speed spin narrow-band radar target problem, undistorted image is studied based on some of the spin of narrowband radar networking goals undistorted imaging methods.
10417 首先在建立自旋目标窄带雷达回波模型基础上,分析了单基窄带雷达成像方法; ‭Firstly established in the spin narrowband radar echo model, based on the analysis of the single-base narrowband radar imaging methods;
10418 然后分别研究了基于多幅窄带雷达图像配准的旋转对称目标和非旋转对称目标图像二维定标方法; Then respectively based on multiple narrowband radar image registration are studied the rotational symmetry of the target and the rotational symmetry target image two-dimensional scaling method;
10419 最后,对配准后的各窄带雷达图像进行融合得到了目标的无失真二维像。 Finally, after the registration of the narrowband radar image fusion to get the undistorted two-dimensional as target.
10420 仿真实验验证了本文方法的有效性,并分析了算法的鲁棒性。 Simulation results verify the effectiveness of the method in this paper, and the robustness of the algorithm is analyzed.
10421 针对高超声速飞行器高度与速度跟踪所面临的参数不确定与外界干扰问题,提出基于干扰估计的鲁棒控制律设计方法。 For hypersonic aircraft altitude and velocity tracking of parameter uncertainty and external disturbance problems, put forward the robust control law design method based on disturbance estimation.
10422 首先建立含参数不确定与外界干扰的高超声速飞行器模型; First established with parameter uncertainty and external disturbance of hypersonic flight vehicle model;
10423 ‭而后基于动态逆思想,将动力学模型进行线性化,并将由参数不确定与外界干扰对系统造成的总效果看作系统总干扰,从而引入线性扩张状态观测器实现对系统状态及总干扰的估计; ‭And then based on dynamic inversion, the linear dynamics model, and will be caused by parameter uncertainty and external disturbance on the system as the total effect of the system total interference, thus introducing linear extended state observer to realize the estimate of the state of the system and total interference;