Formation tracking control for time-delayed multi-agent systems with second-order dynamics

In this paper, formation tracking control problems for second-order multi-agent systems (MASs) with time-varying delays are studied, specifically those where the position and velocity of followers are designed to form a time-varying formation while tracking those of the leader. A neigh-boring relative state information based formation tracking protocol with an unknown gain matrix and time-varying delays is presented. The formation tracking problems are then transformed into asymptotically stable problems. Based on the Lyapunov-Krasovskii functional approach, condi-tions sufficient for second-order MASs with time-varying delays to realize formation tracking are examined. An approach to obtain the unknown gain matrix is given and, since neighboring relative velocity information is difficult to measure in practical applications, a formation tracking protocol with time-varying delays using only neighboring relative position information is introduced. The proposed results can be used on target enclosing problems for MASs with second-order dynamics and time-varying delays. An application for target enclosing by multiple unmanned aerial vehicles (UAVs) is given to demonstrate the feasibility of theoretical results.     

在旋翼试验中实现同方位采集数据的方法

本文通过对阶次跟踪的分析,找到了一种实现旋翼同方位数据采集的新方法。     

纯音测距体制中软件解模糊的实现方法

基于无线电纯音测距的原理，逐步推出用软件实现匹配解距离模糊的方法。讨论了选择原测音时应考虑的因素，分析了相位精度的影响，并介绍了静态匹配、原测音恢复和动态跟踪的算法。实际应用表明，该方法解距离模糊正确，距离跟踪正常。     

J2EE平台会话管理机制分析与改进

在分析J2EE平台会话管理机制的基础上,指出了J2EE会话管理机制在会话状态管理方面的不足,提出了解决方案,论述了实现该方案时要解决的五个关键问题。     

寻的导弹制导中距离测量可能错误时的多模型滤波

寻的制导雷达在电子干扰条件下可能测得错误的距离信息，以切换系统模型来描述此问题，并提出了一种新的多模型跟踪滤波器来实现制导信息的估计。该滤波器分两步序贯处理角度测量和距离测量数据，从而有效地改进了距离测量修正中的线性化参考点。仿真结果表明，这种估计方法使得距离测量正确情况下的滤波精度得到提高，并且能以很高的概率消除错误的距离测量数据对滤波的影响。     

数据链航迹延迟与 ESM点迹间断融合跟踪

数据链与电子支援措施(Electronic Supporting Measures,ESM)融合跟踪是 1种典型的异类多传感器信息融合。针对数据链航迹存在延迟和 ESM点迹间断情况下的数据链航迹与 ESM点迹融合跟踪,提出了复杂情况下的数据链与 ESM融合跟踪方法,并对融合跟踪的精度进行分析研究。首先,对数据进行时间对准,保证数据链和 ESM数据率一致;然后,通过构造基于不敏变换(Unscented Transformation,UT)的非线性量测转换和误差估计方法,将数据链数据对准到 ESM数据;最后,通过引入随机补偿机制对数据链延迟进行补偿,并与 ESM数据进行关联融合。实验结果表明,有延迟补偿时的融合跟踪精度取决于延迟补偿均值与实际延迟的贴近程度。结果可为信息综合处理装备的发展和设计提供借鉴。     

Joint parameter and state estimation for stochastic uncertain system with multivariate skew t noises

Due to the pulse interference, measurement outliers and artificial modeling errors, the multivariate skew t noise widely exists in the real environment. However, to date, little attention has been paid to the state estimation for systems in which the process noise and the measurement noise are both modeled as the heavy-tailed and skew non-Gaussian noise. In this paper, the multivariate skew t distribution is utilized to model the heavy-tailed and skew non-Gaussian noise. Then a probabilistic gra...     

基于改进DeepSORT的视觉/激光雷达目标跟踪与定位方法CSCD

通过结合目标跟踪与相对定位,在对多帧检测目标进行关联与分析的同时,可以获取其三维信息。但当目标外观特征变换较大时,传统目标跟踪算法较易发生漏匹配或身份变换,而仅依靠对齐点云的相对定位算法较易出现定位失效的情况。针对以上问题,提出了一种基于改进DeepSORT的目标跟踪与定位方法在原始DeepSORT算法中加入基于位置约束的匹配,解决了因外观改变导致的漏匹配问题;在获取跟踪信息的基础上,设计了基于目标运动模型的相对定位方法,解决了图像中目标较小时相对定位不连续且定位精度较低的问题。试验结果表明,与传统DeepSORT算法相比,多目标跟踪准确度提高了5.9%;与仅依靠对齐点云的相对定位算法相比,定位精度提高了62.4%。     

Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics

It is difficult to build accurate model for measurement noise covariance in complex back-grounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target tracking algorithm based on labeled random finite set and variational Bayesian (VB) approximation is pro-posed. The variational approximation technique is introduced to the labeled multi-Bernoulli (LMB) filter to jointly estimate the states of targets and sensor noise variances. Simulation results show that the proposed method can give unbiased estimation of cardinality and has better performance than the VB probability hypothesis density (VB-PHD) filter and the VB cardinality balanced multi-target multi-Bernoulli (VB-CBMeMBer) filter in harsh situations. The simulations also confirm the robustness of the proposed method against the time-varying noise variances. The computational complexity of proposed method is higher than the VB-PHD and VB-CBMeMBer in extreme cases, while the mean execution times of the three methods are close when targets are well separated.     

具有甲板运动预估的三旋翼无人机着舰研究

在无人机着舰的最后阶段,舰船的甲板运动严重威胁着无人机的着舰安全,其中沉浮和横摇运动威胁最大.首先介绍了三旋翼无人机的建模方法、控制律以及模拟的甲板运动模型;在此基础上,针对舰船甲板运动对无人机安全着舰的影响,提出了抗舰船横摇/沉浮的着舰控制方案;最后,对控制方案下的着舰性能进行了仿真分析.仿真结果表明,该控制方案可以满足着舰指标要求.